Proceedings of International Joint Conference on Advances in Computational Intelligence (eBook, PDF)
IJCACI 2020
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Proceedings of International Joint Conference on Advances in Computational Intelligence (eBook, PDF)
IJCACI 2020
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This book gathers outstanding research papers presented at the International Joint Conference on Advances in Computational Intelligence (IJCACI 2020), organized by Daffodil International University (DIU) and Jahangirnagar University (JU) in Bangladesh and South Asian University (SAU) in India. These proceedings present novel contributions in the areas of computational intelligence and offer valuable reference material for advanced research. The topics covered include collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data…mehr
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This book gathers outstanding research papers presented at the International Joint Conference on Advances in Computational Intelligence (IJCACI 2020), organized by Daffodil International University (DIU) and Jahangirnagar University (JU) in Bangladesh and South Asian University (SAU) in India. These proceedings present novel contributions in the areas of computational intelligence and offer valuable reference material for advanced research. The topics covered include collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.
Produktdetails
- Produktdetails
- Verlag: Springer Singapore
- Erscheinungstermin: 17. Mai 2021
- Englisch
- ISBN-13: 9789811605864
- Artikelnr.: 61903289
- Verlag: Springer Singapore
- Erscheinungstermin: 17. Mai 2021
- Englisch
- ISBN-13: 9789811605864
- Artikelnr.: 61903289
Dr. Mohammad Shorif Uddin is Professor at Jahangirnagar University, Bangladesh. He completed his Doctor of Engineering in Information Science at Kyoto Institute of Technology, Japan, in 2002; his Master of Technology Education at Shiga University, Japan, in 1999; and his MBA at Jahangirnagar University in 2013. He is Editor-in-Chief of ULAB Journal of Science and Engineering and Associate Editor of IEEE Access and has served as General Chair of various conferences, including the ICAEM 2019, IJCCI 2018, IJCCI 2019, and IWCI 2016. He holds two patents for his scientific inventions, is a senior member of several academic associations, and has published extensively in international journals and conference proceedings.
Dr. Jagdish Chand Bansal is Assistant Professor (Senior Grade) at South Asian University, New Delhi, and Visiting Research Fellow of Mathematics and Computer Science, Liverpool Hope University, UK. Dr. Bansal received his Ph.D. in Mathematics from the IIT Roorkee. Before joining SAU New Delhi, he worked as Assistant Professor at the ABV-Indian Institute of Information Technology and Management Gwalior and at BITS Pilani. He is Series Editor of the book series “Algorithms for Intelligent Systems (AIS),” published by Springer; Editor-in-Chief of International Journal of Swarm Intelligence (IJSI), published by Inderscience; and Associate Editor of IEEE Access, published by the IEEE. He is the general secretary of the Soft Computing Research Society (SCRS). His chief areas of interest are swarm intelligence and nature-inspired optimization techniques. Recently, he proposed a fission-fusion social structure-based optimization algorithm, Spider Monkey Optimization (SMO), which is now being applied to various problems from the engineering domain. He has published more than 60 research papers in international journals/conference proceedings.
Dr. Jagdish Chand Bansal is Assistant Professor (Senior Grade) at South Asian University, New Delhi, and Visiting Research Fellow of Mathematics and Computer Science, Liverpool Hope University, UK. Dr. Bansal received his Ph.D. in Mathematics from the IIT Roorkee. Before joining SAU New Delhi, he worked as Assistant Professor at the ABV-Indian Institute of Information Technology and Management Gwalior and at BITS Pilani. He is Series Editor of the book series “Algorithms for Intelligent Systems (AIS),” published by Springer; Editor-in-Chief of International Journal of Swarm Intelligence (IJSI), published by Inderscience; and Associate Editor of IEEE Access, published by the IEEE. He is the general secretary of the Soft Computing Research Society (SCRS). His chief areas of interest are swarm intelligence and nature-inspired optimization techniques. Recently, he proposed a fission-fusion social structure-based optimization algorithm, Spider Monkey Optimization (SMO), which is now being applied to various problems from the engineering domain. He has published more than 60 research papers in international journals/conference proceedings.
Fully Blind Data Hiding by Embedding within DNA Sequences Using Various Ciphering and Generic Complimentary Base Substitution.- A Real-Time Health Monitoring System with Wearables and Ensemble Learning.- Statistical Texture Features Based Automatic Detection and Classification of Diabetic Retinopathy.- Time restricted balanced truncation for Index-I Descriptor Systems with Non-Homogeneous Initial Condition.- Alcoholism Detection from 2D Transformed EEG Signal.- An Intelligent Bangla Conversational Agent: TUNI.- An Approach towards Data Change Rule Based Classification of Driving Maneuver with LSTM Network.- Detection System for Wireless Networks using Deep Learning.- A Genetic Algorithm Based Optimal Train Route Selection Model.- Fuzzy Rule-based KNN for Rainfall Prediction: A case Study in Bangladesh.- Handwritten Indic Digit Recognition using Deep Hybrid Capsule Network.
Fully Blind Data Hiding by Embedding within DNA Sequences Using Various Ciphering and Generic Complimentary Base Substitution.- A Real-Time Health Monitoring System with Wearables and Ensemble Learning.- Statistical Texture Features Based Automatic Detection and Classification of Diabetic Retinopathy.- Time restricted balanced truncation for Index-I Descriptor Systems with Non-Homogeneous Initial Condition.- Alcoholism Detection from 2D Transformed EEG Signal.- An Intelligent Bangla Conversational Agent: TUNI.- An Approach towards Data Change Rule Based Classification of Driving Maneuver with LSTM Network.- Detection System for Wireless Networks using Deep Learning.- A Genetic Algorithm Based Optimal Train Route Selection Model.- Fuzzy Rule-based KNN for Rainfall Prediction: A case Study in Bangladesh.- Handwritten Indic Digit Recognition using Deep Hybrid Capsule Network.
Fully Blind Data Hiding by Embedding within DNA Sequences Using Various Ciphering and Generic Complimentary Base Substitution.- A Real-Time Health Monitoring System with Wearables and Ensemble Learning.- Statistical Texture Features Based Automatic Detection and Classification of Diabetic Retinopathy.- Time restricted balanced truncation for Index-I Descriptor Systems with Non-Homogeneous Initial Condition.- Alcoholism Detection from 2D Transformed EEG Signal.- An Intelligent Bangla Conversational Agent: TUNI.- An Approach towards Data Change Rule Based Classification of Driving Maneuver with LSTM Network.- Detection System for Wireless Networks using Deep Learning.- A Genetic Algorithm Based Optimal Train Route Selection Model.- Fuzzy Rule-based KNN for Rainfall Prediction: A case Study in Bangladesh.- Handwritten Indic Digit Recognition using Deep Hybrid Capsule Network.
Fully Blind Data Hiding by Embedding within DNA Sequences Using Various Ciphering and Generic Complimentary Base Substitution.- A Real-Time Health Monitoring System with Wearables and Ensemble Learning.- Statistical Texture Features Based Automatic Detection and Classification of Diabetic Retinopathy.- Time restricted balanced truncation for Index-I Descriptor Systems with Non-Homogeneous Initial Condition.- Alcoholism Detection from 2D Transformed EEG Signal.- An Intelligent Bangla Conversational Agent: TUNI.- An Approach towards Data Change Rule Based Classification of Driving Maneuver with LSTM Network.- Detection System for Wireless Networks using Deep Learning.- A Genetic Algorithm Based Optimal Train Route Selection Model.- Fuzzy Rule-based KNN for Rainfall Prediction: A case Study in Bangladesh.- Handwritten Indic Digit Recognition using Deep Hybrid Capsule Network.