Connecting Intelligence
Trends in Computation and Data Communication
1st Edition
Published on 9. April 2026
Book
Hardback
874 pages
978-1-041-29902-8 (ISBN)
Description
ICCIDC 2025 is a premier global event focused on the latest advancements in computational intelligence and data communication technologies. ICCIDC 2025 will cover a wide range of topics including artificial intelligence, machine learning, data mining, signal processing, network protocols, wireless communication, and data security, among others. With keynote addresses, technical sessions, workshops, and networking opportunities, the conference provides an excellent platform for participants to exchange ideas and showcase their groundbreaking research. As an inaugural event, ICCIDC 2025 is poised to set the stage for future discussions and collaborations that will drive the evolution of computational intelligence and data communication, paving the way for next-generation innovations.
Unlike general AI and data communication conferences, ICCIDC 2025 emphasizes the synergistic integration of computational intelligence and data communication to solve real-world problems. The conference aims to bridge gaps between AI-driven computation, networking, and emerging communication paradigms. Many conferences focus exclusively on AI or networking, but ICCIDC 2025 promotes a multi-disciplinary discussion covering: computational intelligence (machine learning, deep learning, soft computing); Future communication systems (5G/6G, IoT, edge computing, blockchain and Real-world applications (healthcare, cybersecurity, smart cities, fintech).
Unlike general AI and data communication conferences, ICCIDC 2025 emphasizes the synergistic integration of computational intelligence and data communication to solve real-world problems. The conference aims to bridge gaps between AI-driven computation, networking, and emerging communication paradigms. Many conferences focus exclusively on AI or networking, but ICCIDC 2025 promotes a multi-disciplinary discussion covering: computational intelligence (machine learning, deep learning, soft computing); Future communication systems (5G/6G, IoT, edge computing, blockchain and Real-world applications (healthcare, cybersecurity, smart cities, fintech).
More details
Other editions
Additional editions
Bal S. Virdee | Tanweer Ali | Jaume Anguera
Connecting Intelligence
Trends in Computation and Data Communication
Book
05/2026
1st Edition
CRC Press
€79.70
Shipment within 15-20 days
Bal S. Virdee | Tanweer Ali | Jaume Anguera
Connecting Intelligence
Trends in Computation and Data Communication
E-Book
04/2026
1st Edition
Taylor & Francis
€73.99
Available for download
Bal S. Virdee | Tanweer Ali | Jaume Anguera
Connecting Intelligence
Trends in Computation and Data Communication
E-Book
04/2026
1st Edition
Taylor & Francis
€73.99
Available for download
Content
1 Artificial intelligence in supply chain optimization: data driven strategies
Sharath Chandra Macha and Sharath Chandra Kondaparthy
2 Two-element narrowband planar fork antenna operating at 23.80 GHz
Aayush Kumar Singh, Ashish Raj, Tanweer Ali, Jagadeesh Chandra R. B and Soumil Jain
3 A hybrid fin-shaped narrowband antenna for wireless applications
Aayush Kumar Singh, Ashish Raj, Tanweer Ali, Jagadeesh Chandra R. B and Soumil Jain
4 Enhancing motor-imagery BCI robustness for edge computing applications
Siddhartha Modi,Abhinav Verma and Sandhya Parasnath Dubey
5 Comparative study of unsupervised and supervised learning analysis for the credit card
fraud identification
Hitha L and Sandhya Prashanth Dubey
6 Golden ratio assisted localization for wireless sensor network
Hitesh Mohapatra and Soumya Ranjan Mishra
7 Automated detection of chronic kidney disease using deep learning
Bindi Bhatt, Pooja Bhatt and Hima Bindu
8 Deepfake image detection using different combinations of vision transformers and CNNs
Soumya Ranjan Mishra and Hitesh Mohapatra
9 Attention guided multimodal learning for classification of oral lesions using histopathology
and clinical data
Divya Rao
10 Classification of target and non-target stimuli based on EEG signal during n-back working
memory task
Shrishail Bhat, Ananthakrishna Thalengala, Subramanya G. Nayak and
Iqbal Ahammed A Kaladgikar
11 Evaluating the impact of preprocessing on deep learning-based dental decision support
systems
Anupama S and Veena Mayya
12 Enhancing SQL injection detection: a comparative study of SVM, Random Forest and
hybrid models
Adithya Rao Kalathur, Vaishnavi and Balachandra Muniyal
13 Automation of Android-based actions using large action models
Sambhav Nath Jain, Jason Shaun Dmello, Rudra Patel, Mamatha Balachandra,
Roshan David Jathanna, Sharmila Mani and Piyush Agrawal
14 Sex-specific ADHD pattern discovery: a hybrid machine learning approach using functional
and social-clinical data
Vaibhavi Jadhav, Shreya Mannurkar, Mahima
Sharath Chandra Macha and Sharath Chandra Kondaparthy
2 Two-element narrowband planar fork antenna operating at 23.80 GHz
Aayush Kumar Singh, Ashish Raj, Tanweer Ali, Jagadeesh Chandra R. B and Soumil Jain
3 A hybrid fin-shaped narrowband antenna for wireless applications
Aayush Kumar Singh, Ashish Raj, Tanweer Ali, Jagadeesh Chandra R. B and Soumil Jain
4 Enhancing motor-imagery BCI robustness for edge computing applications
Siddhartha Modi,Abhinav Verma and Sandhya Parasnath Dubey
5 Comparative study of unsupervised and supervised learning analysis for the credit card
fraud identification
Hitha L and Sandhya Prashanth Dubey
6 Golden ratio assisted localization for wireless sensor network
Hitesh Mohapatra and Soumya Ranjan Mishra
7 Automated detection of chronic kidney disease using deep learning
Bindi Bhatt, Pooja Bhatt and Hima Bindu
8 Deepfake image detection using different combinations of vision transformers and CNNs
Soumya Ranjan Mishra and Hitesh Mohapatra
9 Attention guided multimodal learning for classification of oral lesions using histopathology
and clinical data
Divya Rao
10 Classification of target and non-target stimuli based on EEG signal during n-back working
memory task
Shrishail Bhat, Ananthakrishna Thalengala, Subramanya G. Nayak and
Iqbal Ahammed A Kaladgikar
11 Evaluating the impact of preprocessing on deep learning-based dental decision support
systems
Anupama S and Veena Mayya
12 Enhancing SQL injection detection: a comparative study of SVM, Random Forest and
hybrid models
Adithya Rao Kalathur, Vaishnavi and Balachandra Muniyal
13 Automation of Android-based actions using large action models
Sambhav Nath Jain, Jason Shaun Dmello, Rudra Patel, Mamatha Balachandra,
Roshan David Jathanna, Sharmila Mani and Piyush Agrawal
14 Sex-specific ADHD pattern discovery: a hybrid machine learning approach using functional
and social-clinical data
Vaibhavi Jadhav, Shreya Mannurkar, Mahima