“It is planned to publish the proceedings with Springer in their Communications in Computer and Information Science series”
CCIS is abstracted/indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus.
CCIS volumes are also submitted for the inclusion in ISI Proceedings.
ISSN: 1865-0929 (Print) 1865-0937 (Online)
ISBN: 978-3-642-45024-2 (Print)
978-3-642-45025-9(Online)
The 2nd International Conference on Artificial Intelligence and Data Science (ICAIDS-2023) will be held in the beautiful city of Hyderabad during 29th-30th December 2023 Organized by Department Of Computer Science & Engineering, CSE (AI&ML) and CSE (DS) in Sreyas Institute Of Engineering and Technology, Hyderabad, Telangana.
This conference is meant for researchers from academia, industries and research & development organizations all over the globe interested in the areas of Artificial Intelligence and Data Science. It will put special emphasis on the participations of Ph.D students, Postdoctoral fellows and other young researchers from all over the world. It would be beneficial to bring together a group of experts from diverse fields to discuss recent progress and to share ideas on open platform and also promote global collaborations. The conference will feature world-class keynote speakers in the main areas.
We warmly welcome prospective authors to submit their latest research results to ICAIDS-2023, looking forward to meeting you at Sreyas Institute Of Engineering and Technology, Hyderabad, Telangana, India during 29th-30th December 2023.
Sreyas Institute, located in the heart of the city, is the result of deliberation & planning of every aspect to create a world-class technical education institution. The first impression as you enter the sprawling green and verdant campus of Sreyas leaves a lasting impression of innate calm and energizing growth. The campus is scientifically planned and artistically designed. The students have access to the latest software & computing facilities for learning & research to groom them into future citizens. The infrastructure is absolutely world-class with opportunities to build practical skills in state-of-the-art laboratories & workshops.
The 2nd International Conference on Artificial Intelligence and Data Science (ICAIDS-2023) will be held at Sreyas Institute Of Engineering and Technology, Hyderabad, Telangana, India during 29th-30th December2023
The conference will have plenary lectures followed by parallel sessions. Plenary lectures will be delivered by eminent personalities of repute to introduce the theme of the conference. Conference is to provide a platform to PG students, Researchers, Young aspiring Engineers & Academicians to present their research findings of their respective domains of knowledge and share ideas and Views.
All the accepted and presented papers expected to be published in Springer Series. The paper will be indexed in Scopus, DBLP, ISI Web of Science and Google Scholar.
The 2nd International Conference on Artificial Intelligence and Data Science (ICAIDS-2023) invites the original research papers on the following topics listed below, but not limited to:
Computational Intelligence (CI) encompasses a variety of approaches and intelligent methodologies rooted in theoretical frameworks, proofs, axioms, and comparative analyses of computationally driven paradigms. Its scope extends to providing computational resolutions for multifaceted challenges across diverse domains, spanning from database management to exascale computing, and addressing issues of homogeneity, heterogeneity, data volume, velocity, variety, and veracity. Given the contemporary deluge of exabyte-scale data generation, there arises a pressing necessity for intelligent methodologies and tools capable of robustly analyzing and extracting meaningful insights from such vast datasets, facilitating timely and informed decision-making. Against this backdrop, CI, its principles, applications, and meta-heuristic techniques serve as potent instruments for tackling real-world problems. The primary objective of this workshop is to collate and disseminate contributions from scholars, educators, and industry practitioners within the CI domain. By fostering information exchange, this workshop aims to catalyze tangible advancements in scientific output.
Computational Intelligence, Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, Data Science
Dr. Prateek Agrawal, Lovely Professional University, India
Dr. Ashwani Kumar, SIET, Hyderabad, India
Dr. Pawan Kumar Verma, Sharda University, India
Vladislav Kashansky, University of Klagenfurt, Austria
Dr. Vishu Madaan, Lovely Professional University, India
Dr. Dimple Nagpal, Lovely Professional University, India
A smart healthcare system using deep learning models involves leveraging advanced algorithms to analyze complex medical data. These models can be used for tasks such as disease diagnosis, medical imaging analysis, personalized treatment recommendations, and predictive analytics. By integrating deep learning into healthcare systems, efficiency, accuracy, and patient outcomes can be significantly improved. Implementing deep learning in healthcare: transforming data into informed decisions. Smart healthcare redefined with deep learning models: precision diagnostics and proactive care.
Soft computing techniques refer to a collection of computational methods that are designed to mimic the human brain's learning and decision-making capabilities. These techniques are used to handle complex and uncertain information in a more flexible and adaptive way compared to traditional hard computing approaches.
Soft computing encompasses various methods, including:
Fuzzy Logic: Fuzzy logic deals with reasoning that is approximate rather than fixed and precise. It allows for reasoning under uncertainty by assigning degrees of truth to statements.
Neural Networks: Neural networks are computational models inspired by the biological neural networks in the human brain. They can learn from data and make decisions or predictions based on patterns and relationships in the data.
Evolutionary Computation: Evolutionary algorithms simulate processes of natural selection to solve optimization and search problems. They involve techniques like genetic algorithms, genetic programming, and evolutionary strategies.
Machine Learning: While not exclusive to soft computing, machine learning techniques such as support vector machines (SVM), decision trees, and Bayesian networks are often considered part of soft computing due to their focus on learning from data and handling uncertainty.
An IoT-enabled artificial intelligence (AI) system integrates the capabilities of the Internet of Things (IoT) with AI technologies to create intelligent, interconnected systems. Here's a concise explanation of what this entails:
IoT (Internet of Things): FIoT refers to a network of physical devices embedded with sensors, actuators, and connectivity that enable them to collect and exchange data over the internet. These devices can range from everyday objects like smart home appliances to industrial machinery and vehicles.
Artificial Intelligence (AI): AI involves the development of computer systems that can perform tasks that typically require human intelligence, such as recognizing patterns, making decisions, and learning from data.
IoT-Enabled AI System: When IoT and AI technologies are combined, IoT devices serve as data sources that continuously gather real-time information from their surroundings. This data is then fed into AI algorithms for analysis, processing, and decision-making. The AI system learns from the data generated by IoT devices to derive insights, make predictions, automate processes, and optimize operations.
Special Session Chair(s): Dr. G. Umamaheswari, Dr. V. A. Sankar Ponnapalli, Dr. Nanda Kumar M
Session Objective: Analysis, Design, and Synthesis are the three important keys for all engineering problems. Advanced wireless and electrical systems like 5G Communication, Smart antennas VANET, IOT, fault detection in antenna array and transmission lines demand effective optimization techniques to achieve high quality performance. Many academicians and researchers are drawn to the development of Fuzzy, Artificial Neural Networks (ANNs), and Evolutionary Optimization Algorithms (EOAs) for advanced wireless communications and electrical systems as a result of these diverse applications. It is our aim that leading scholars from both academia and industry will come together to discuss the latest advancements in wireless communications and electrical systems.
This session also provides the premier interdisciplinary forum for researchers to present and discuss the most recent innovations, trends, and concerns, practical challenges encountered and the solutions adopted in the field of smart wireless and electrical systems.
Contact:
Dr. G. Umamaheswari, PSG College of Technology, Coimbatore, India.
Dr. V. A. Sankar Ponnapalli, Sreyas Institute of Engineering and Technology Hyderabad,
India.
EMAIL: [email protected];
8125550684
Dr. Nanda Kumar M, Sreenidhi Institute of Science and Technology, Hyderabad, India.
Special Session Chair(s): Anupam Singh, AP-SG, Informatics School of Computer Science, UPES
Session Objective: To deploy a system without checking its correctness is a challenge for industry. Formal specification and verification is based on formal methods. It verifies and gives an error free system. Last decade has emerged as a smart technological developments era, where we are able to bridge the physical word and the cyber space, which composes the foundation for developing new smart applications. Many potential applications of Internet of Things, Blockchain, Distributed solutions in field of engineering, smart cities, healthcare has given an edge to new directions of research.
Recently, we are witnessing an increasing trend in exploiting use of both Cloud and IoT together; a new paradigm known as IoT with Cloud has emerged. They have applications in smart homes, smart traffic, low cost deployments, low energy consumption applications, healthcare, agriculture and many more.
So main focus of this special session is to address the research issues related to formal specification and verification of blockchain oriented system and its application in internet of things. Full length original and unpublished research papers based on theoretical or experimental contributions related to the below mentioned tracks are invited for submission in this special session:
Topics and Areas of Interest (not limited up to following)
Formal Development, Formal Specification, Formal Verification, Formal Methods, Wireless relaying in IoT, Blockchain Oriented Transactional System, 5G enabling technologies for the IoT, Cloud computing for the green IoT, Distributed, Fog and Edge Computing.
Contact:
Anupam Singh, Email ID: [email protected], Mobile No.: 7905546681.
Special Session Chair(s): Dr. Mohammad Amir Khusru Akhtar, Associate Professor & Head, Usha Martin University, Ranchi, Jharkhand, India
Session Objective: Artificial intelligence (AI) is a computer science discipline that aims to develop ideas, methods, algorithms, and applications for imitating and enhancing human intelligence. The ultimate goal of AI is to develop technology that allows computational devices to behave intelligently. This high-level goal can be split down into several subareas relating to the human-like perceptual and cognitive capacities that an intelligent machine should possess.
The new paradigm of deep-structured machine learning, or Deep Learning, is driving the third rise of AI. Humans build features in classic machine-learning algorithms, and feature engineering is a bottleneck that requires significant human knowledge. Moreover, the models lack representation capability and, as a result, the ability to create levels of decomposable abstractions that automatically detangle complex processes in shaping observed data. The use of a deep, layered model structure, commonly in the form of neural networks, and the related end-to-end learning algorithms in deep learning overcomes the aforementioned challenges. One of the key driving forces behind the current AI inflection point and the comeback of neural networks is breakthroughs in deep learning. So main focus of this special session is to address the research issues related to application of artificial intelligence. Full length original and unpublished research papers based on theoretical or experimental contributions related to the below mentioned tracks are invited for submission in this special session:
Topics and Areas of Interest (not limited up to following)
Web Search, Visual Inquiry Responding, Image Captioning, Natural Language Processing, Toxicology And Drug Discovery, Systems For Customer Relationship Management And Recommendation, Informatics In Medicine, Advertisements On The Internet, Image Analysis In Medicine, Robotics, Self-Driving Vehicles, Board Games (For Example, Alphago, Poker, And Dota2), Etc.
Contact:
Dr. Md. Amir Khusru Akhtar, Email ID: [email protected], Mobile No.: +91 9798476769.
Special Session Chair(s): Dr. S Venkata Achuta Rao, Professor, Sreyas Institute of Engineering and Technology, GSI, Bandlaguda, Nagole, Hyderabad,Telangana-500068, India.
Session Objective: Prediction of Fault-Prone Software Modules is a vital activity in software design & Deployment to make Model more efficient, economic and produce quality software. This is a fruitful approach to decreases the testing efforts (cost and time) of the software testing. Computational Intelligence Methods: Inherited & Existence of faults not only reduces the quality of the software, but also increases its development cost and time. In this discussion, the detailed survey has done on historical data of fault-prone software modules for categorize software modules as faulty or non-faulty. The objectives of the study are to find the techniques that have used in prediction of various interdisciplinary intelligence methods to predict the analytics in software defect prediction. So main focus of this special session is to address the research issues related to Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Evolutionary Strategies are helped to develop models constructed analytically based Scientific or Empirical solutions are to be provided the Computational Intelligence community to the prediction of Software Faults at the early stages.
Full length original and unpublished research papers based on theoretical or experimental or scientific or empirical or real time contributions related to the below mentioned tracks are invited for submission in this special session:
Topics and Areas of Interest (not limited up to following)
Artificial Intelligence for Automatic Testing Tools, Machine Learning Prediction Models, Prescriptive Data Analytics, Prediction Data Analytic, Computational Intelligence techniques, Evolutionary Computational Methods, Deep Learning for Health Care, Enabling Ubiquitous and pervasive Computing, Statistical Software Bug Analytics & Prediction Models, Artificial Immune Systems, Fuzzy Systems, Optimization Techniques, Soft Computing
Contact:
Dr. S Venkata Achuta Rao, Email ID: [email protected], Mobile No.: +919885463131.
Special Session Chair(s):Dr. Punit Gupta, Associate Professor, Dept. of Computer and Communication Eng., Manipal University Jaipur, Jaipur, India.
Session Objective: Cloud computing is a new alternative of scalable and cost efficient computing which is accepted worldwide. But there lie various open issues line issues with increasing infrastructure which are geographically located and performance issues. Moreover faults in datacenter with are occurring at random point degrades the performance and reliability in cloud environment. So this issue aims to find and invite new research from the field of fault tolerant and reliable computing.
The Objective of this special issue to collect quality work from the field of cloud computing to address various issues concerned to improve the performance in cloud environment. The topic of interest those are not limited to the list given below:
Topics and Areas of Interest (not limited up to following)
Scalability in cloud, Power efficient computing, Heuristic based algorithm in cloud, Reliability in cloud, Cloud computing architectures and systems, Hybrid cloud environment, Data center networking, Trust, security and privacy, Cloud resource management, Fault tolerance and reliability of Big Data Systems
Contact:
Dr. Punit Gupta, Email ID: [email protected], Mobile No.: +919882205191.
Submission Opening Date | 10th June, 2023 | ||
Submission Closing Date | 31th September, 2023 | ||
Acceptance Notification for Final Papers | 31th October, 2023 | ||
Camera Ready Copy Deadline | 5th September, 2023 | ||
Conference Dates | 29th-30th December, 2023 |
High-quality full papers which at the time of submission, are not under review and have not already been published or accepted for publication elsewhere are solicited. The first page should include the paper’s title, the abstract, and a list of keywords indicating the paper’s topic area, the authors’ full names, affiliations, and e-mail addresses.
All accepted papers will be published in the conference proceedings. Authors are required to submit fully formatted papers (PDF), with graphs, images, and other special areas arranged as intended for the final publication. Papers should be written in English conforming to the standard conference format. Your paper must be printable in order to be accepted.
All papers that confirm to submission guidelines will be peer-reviewed by at least two independent referees from the Conference Review Board and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability.
Important Note: Authors must obtain permissions from the previous publisher(s) for any material (text, figures, tables etc.) they want to reuse, and submit the same with paper.
At least one of the authors of each accepted paper has to register for the conference. Each registration will cover one accepted paper. ICAIDS-2023 Organizing Committee reserves the right not to include in any paper into the proceedings that are not presented at the conference.
Author Type |
Indian Author |
Foreign Author |
Regular Research Scholars and Students | INR 6000 | USD 100 |
Members of Faculty | INR 7000 | USD 130 |
Delegates (R&D Centers and Industry) | INR 5800 | USD 180 |
Guest / Attendee / Listener | INR 2000 | USD 50 |
Note:
1. At a time only one type of discount will be applicable for the above mentioned categories.
2. One student/Author Registration will be eligible for ONE paper presentation by the same student/Author.
3. Registration charges include all conference material, coffee breaks and meals during the conference days.
4. Receipt of registration will be provided during the conference.
5. Author(s) seeking official letter to apply for CONFERENCE GRANT from professional bodies may send their request at [email protected]
1. Wire Transfer:Participants/authors paying registration fees through Wire Transfer should use the following information and email their bank transaction slip and relevant information to [email protected]
2. Wire Transfer from OUTSIDE INDIA (Only for FOREIGN AUTHORS)
Based on the decisions given by our reviewers the decision of paper acceptance/rejection will be communicated authors through email.
The authors of the accepted papers will be allowed to make corrections in accordance with the suggestions of the reviewers and submit final camera-ready papers within the stipulated deadline.
Each accepted final paper must be accompanied by the dully filled in copyright form called Consent to Publish (CTP), which we ask a corresponding author to complete and sign. The final submission should be prepared as a separate zipped file as mentioned below.
All final submissions should be in a .zip compressed archive including:
All submissions, including Regular papers, Short papers, and other have to be made through the CONFERENCE MANAGEMENT TOOLKIT (CMT). Those who do not have an CONFERENCE MANAGEMENT TOOLKIT (CMT) account they need to create one.
NOTE: Prospective authors are invited to submit full (original) research papers; which are NOT submitted/published/under consideration anywhere in other conferences/journals; CONFERENCE MANAGEMENT TOOLKIT (CMT) or via email [email protected]
All the paper must conform to specific format and must be submitted as Microsoft Word DOC or DOCX format only not exceeding stipulated pages including text, figures, tables and references.
Sri Anantula Vinay Kumar Reddy,Chairman, Sreyas Institute of Engineering and Technology, Hyderabad ,India.
Shri Chintala Ravindranath Yadav, Secretary, Sreyas Institute of Engineering and Technology, Hyderabad ,India.
Sri Nirvetla Sharath Reddy, CEO and Treasurer, Sreyas Institute of Engineering and Technology, Hyderabad ,India.
Sri Hriday Reddy,Vice-Chairman, Sreyas Institute of Engineering and Technology, Hyderabad ,India.
Dr. K.Sagar, Professor-CSE, Principal, Principal, Sreyas Institute of Engineering and Technology, Hyderabad, India.
Dr. K.Sagar, Professor-CSE, Principal, SIET, HYD.
Dr. Ashwani Kumar, Associate Professor
Dr. K.Sagar, Professor & Principal, Sreyas Institute of Engineering and Technology, Hyderabad, India.
Dr. J.PanduRangaRao, Dean-IQAC, SIET, HYD
Dr. U. M. Fernandes Dimlo, HOD- CSE, SIET, HYD
Dr. A. Swathi , HOD- AIML, SIET, HYD
Dr. M. Jayaram, HOD-DS, SIET, HYD
Prof. Ch. MaruthiRao, HOD-ECE, SIET, HYD
Prof. MD. Naseeruddin, HOD-HS, SIET, HYD
Prof. Y Krishnaiah, HOD-MECH, SIET, HYD
Prof. D Paramesh, HOD-CIVIL, SIET, HYD
Dr. A. Swathi, Associate Professor, Dept of AI&ML, SIET, HYD
Prof. Chandra S Dasaka, Chairman, CSI Hyderabad
Prof. Sudhakar, CSI Hyderabad
Prof. B. Sreenivasu, SIET, Hyderabad, India
Mr. J. Pandu Ranga Rao, SIET, Hyderabad
Dr. Uma Maheswar, SIET, Hyderabad
Prof. S.Ramachandran, Vice-Chancellor, Anurag University
Dr. V.Hara Gopal, BITS PILANI, Hyderabad
Dr. Bala Prakasha Rao Killi, NITW, Warangal
Meenakshi Arya, SRM University, Chennai
Prof. A. Govardhan, JNTUH, Hyderabad
Deepa Garg, Bennett University, Hydearabad,India
D.Vasumathi, JNTUH, Hydearabad,India
Kamakshi Prasad, JNTUH, Hydearabad,India
Ashok chandra, Goa Institute of Management, India
Deepak Gupta, SVKM's NMIMS University, India
Shiva Prakash, JNU,New Delhi, India
Shirmohammad Tavangari, University of British Columbia, Canada
(Prof.) Dr. Gautam Srivastava, Brandon University, Canada
Dr. Ashwani Kumar, Associate Professor India
Prof. Anand Nayar, Professor, Duy Tan University, Vietnam
Prof. Dr. P.K. Gupta, Jaypee University of Information Technology, HP, India
Dr. Ashish K. Luhach, PNG University of Technology, Papua New Guinea
Vijender Solanki, CMRIT,Hyderabad, India
Pratiksha Saxena, Gautam Buddha University, Greater Noida, India
Prabhat Thakur, University of Johannesburg, South Africa
Bunseng Chan, Southern University College, Malaysia
Sanjeevikumar Padmanaban, Aalborg University, Denmark
Deepak Gupta, Wichita State University, USA
Ramesh Chandra, Norwegian University of Science and Technology, Norway
Shiva Prakash, M. M. M. University of Technology, India
Ramjee Prasad, Aalborg University, Denmark
Prof. Deepak Prashar, Lovely Professional University, India
Mohd Wajid, Aligarh Muslim University, India
Akash Saxena, Swami Keshvanand Institute of Technology, Management, India
S. P. Ghrera, Alakh Prakash Goyal Shimla University, India
Deepak Dahiya, Majmaah University, Saudi Arabia
IR. Dr. Ismail, Musirin Universiti Teknologi MARA, Shah Alam, Selangor Malaysia
Meenakshi Arya, SRM University, Chennai, India
Prof. A. Govardhan, Jawaharlal Nehru Technological University, Hyderabad, India
Deepa Garg, Bennett University, India
Dr. Rahul Malik, Galgotia University, India
D.Vasumathi, Jawaharlal Nehru Technological University, Hyderabad, India
Dr. Shajulin Benedict, IIIT Kottayam, India
Kamakshi Prasad, Jawaharlal Nehru Technological University, Hyderabad, India
Ashok chandra, Goa Institute of Management, India
Deepak Gupta, SVKM's NMIMS University, India
Shiva Prakash, JNU, New Delhi, India
Shirmohammad Tavangari, University of British Columbia, Canada
Karim Hashim Al-Saedi, Mustansiriyah University, Iraq - Baghdad
Seng Hansun, Universitas Multimedia Nusantara, Indonesia
Felix J. Garcia Clemente, University of Murcia, Spain
Sotiris Kotsiantis, University of Patras, Greece
Prof. Radu Prodan, University of Klagenfurt, Austria
Durgesh Nandan, Symbiosis Institute of Technology, India
Eaglekumar G. Tarpara, Brookhaven National Laboratory, USA
Sanjeev Patel, National Institute of Technology Rourkela, India
Zahra Pezeshki, Shahrood University of Technology, Iran
Nadheer A.Shalash, Al-Mamon University College, Iraq
Prof. Deepali Virmani, Vivekanand Institute of Professional Studies, New Delhi, India
Walid Barhoumi, SIIVA - RIADI Laboratory, Tunisia
Kamarulafizam Ismail, Universiti Teknologi Malaysia, Malaysia
Kreangkri Ratchagit, King's Mongkut University of Technology Thonburi, Thailand
Dr. Ramkumar Jaganathan, Dr NGP Arts and Science College, India
Alok Joshi, Jaypee Institute of Information Technology (JIIT), India
Imran Memon, ZHEJIANG, China
Ette Hari Krishna, Kakatiya University, India
Zafar Iqbal, Shahjalal University of Science and Technology, Bangladesh
Dr. Rohit Thanki, Prognica Labs, Dubai, United Arab Emirates
Preetam Bhardwaj, VIT University,Vellore, India
Anisur Rahman, Jamia Millia Islamia A Central University, New Delhi, India
Pronaya Bhattacharya, Nirma University,Gujarath, India
Mohit Kumar, Cambridge Institute of Technology, Ranchi, India
Ali Akbar, University of Rajshahi, Bangladesh, Bangladesh
Haci Mehmet Baskonus, Harran University, Turkey
Prof. Xiao Zhi Gao, Aalto University, Finland
Prof Dac Nhuong, Haiphong University, Vietnam, Vietnam
Mitsunori Makino, Chuo University, Japan
Siva Somayaji, VIT University, India
Dr. Sahil Verma, Chandigarh Group of Colleges, Jhanjheri, India
Govind Suryawanshi, University of Pune Pune, India
Inayathulla Mohammed, Malla Reddy Engineering College Autonomous, India
Steven Fernandes, Creighton University, Omaha, Nebraska
Noraziah Ahmad, University Malaysia Pahang, Malaysia
Shruti Goel, Maharaja Surajmal Institute of Technology, India
Dimitrios Xanthidis, Higher Colleges of Technology, UAE
Dr. Kavita, Chandigarh Group of Colleges, Jhanjheri, India
Mohammed Hassan Ibrahim, Fayoum University, Egypt
Juan Jose Flores Romero, University of Michoacan, Mexico
Kledi Xhaxhiu, University of Tirana, Albania
G Siva Nageswara Rao, KL University, India
Dr. Chandra Prakash, National Institute of Technology, Surat, India
Vinodani Katiyar, Dr. Shakuntala Misra National Rehabilitation University, India
Dr. Disha Handa, UIC, Chandigarh University, India
Dr. Surjeet Dalal, Amity University, Haryana, India
Prof. P .K Banerjee, R&D Division, Tata Steel, Jamshedpur, India
Shantakumar B Patil, Nagarjuna College of Engineering & Technology, India
Muhammed Kuliya, The Federal Polytechnic Bauchi, Nigeria
Syed Umar, Wollega University, Ethiopia
Pranab Kumar Banerjee, Jadavpur University, India
Shalini Bhartiya, Guru Gobind Singh Indraprastha University, India
Swati Chowdhuri, Institute of Engineering and Management, India
Taranath N L, Adichunchanagiri Institute of Technology, India
Tushar B. Kute, MITU Skillologies, India
Lalita Chaudhary, ITS Engineering College, India
Abdalhossein Rezai, University of Science and Culture, Iran
Alexandre Carlos Brandão Ramos, Federal University of Itajubá & Ecole Nationale de l'Aviation Civile, Brazil
Davide Moroni, ISTI-CNR-Signals and Images Lab, Italy
Muhammad Wahab, Louisiana State University, USA
Americo Scotti, HögskolanVäst, Sweeden, Brazil
Ashutosh Sharma, Southern Federal University, Russia
Prof Jacinta A. Opara, Kampala International University, Kampala-Uganda, Uganda
Dineswary Nadarajan, University of Malaya, Malaysia
Mohd Hafizal Ismail, Universiti Putra Malaysia, Malaysia
Abhishek Shukla, R.D. Engineering College Technical Campus, India
Mohd Ashraf Bin Ahmad, Universiti Malaysia Pahang, Malaysia
ATM Golam Bari, University of South Florida, USA
Kit Qichun Zhang, University of Bradford, UK
Prof Dr Austin N. Nosike, University of Lay Adventists of Kigali, Rwanda
Rahul Sharma, Tallinn University of Technology, Estonia, Europe
Iztok Fister jr., University of Maribor, Slovenia
Prof. B. Seenivasulu, AD, SIET, HYD
Mrs. Joshi Padma.
Dr. M. Madan Mohan, AIML, SIET, HYD
Prof. S.PrudhviRaj, AIML, SIET, HYD
Prof. K. RamyaLakshimi, CSE, SIET, HYD
Prof. M.Jhansi, DS, SIET, HYD