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Applied Intelligence and Informatics : Third International Conference, AII 2023, Dubai, United Arab Emirates, October 29–31, 2023, Revised Selected Papers / / edited by Mufti Mahmud, Hanene Ben-Abdallah, M. Shamim Kaiser, Muhammad Raisuddin Ahmed, Ning Zhong
Applied Intelligence and Informatics : Third International Conference, AII 2023, Dubai, United Arab Emirates, October 29–31, 2023, Revised Selected Papers / / edited by Mufti Mahmud, Hanene Ben-Abdallah, M. Shamim Kaiser, Muhammad Raisuddin Ahmed, Ning Zhong
Autore Mahmud Mufti
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (494 pages)
Disciplina 006.3
Altri autori (Persone) Ben-AbdallahHanene
KaiserM. Shamim
AhmedMuhammad Raisuddin
ZhongNing
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Social sciences - Data processing
Education - Data processing
Image processing - Digital techniques
Computer vision
Artificial Intelligence
Computer Engineering and Networks
Computer Application in Social and Behavioral Sciences
Computers and Education
Computer Imaging, Vision, Pattern Recognition and Graphics
ISBN 9783031686399
9783031686382
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Emerging Applications of AI and Informatics. -- A Deep Learning-Based Neural Network Model for Autism Spectrum Disorder Prediction. -- Improving a Fuzzy Matching Engine. -- Speech Emotion Recognition: An Empirical Analysis of Machine Learning Algorithms Across Diverse Data Sets. -- A BERT-based Chatbot to Support Cancer Treatment Follow-Up. -- Optimizing Medical Imaging Quality: An In-Depth Examination of Preprocessing Methods of Brain MRIs. -- MindData for Enhanced Entertainment Building a Comprehensive EEG Dataset of Emotional Responses to Audio-Visual Stimuli. -- A Survey on Tools and Techniques of Classification in Educational Data Mining. -- Application of AI and Informatics in Healthcare. -- A Robust and Explainable Deep Learning Method for Cervical Cancer Screening. -- Classifying Depressed and Healthy Individuals Using Wearable Sensor Data: A Comparative Analysis of Machine Learning Approaches. -- Performance Analysis of a Single-Input Thermal Image Classifier with Patient Information for the Detection of Breast Cancer. -- Investigation of HR and QT Variability for Monitoring Sleep Apnea: An Interpretable Machine Learning Approach. -- Transfer Learning-Based Ensemble of Deep Neural Architectures for Alzheimer’s and Parkinson’s Disease Classification. -- Classifying Emotions of Parkinsonian Patients from Electroencephalogram Signals using Efficient Attention Capsule Network. -- Early Prediction of Chronic Kidney Disease Using Machine Learning Algorithms with Feature Selection Techniques. -- A Survey on Heart Disease Prediction Using Machine Learning Techniques. -- A Fuzzy Logic-Based Framework for Accurate Detection of Infectious Diseases. -- Application of AI and Informatics in Pattern Recognition. -- A Media-pipe integrated deep learning model for ISL (Alphabet) recognition and converting Text to Speech with Video Input. -- A Driver Fatigue Detection Framework with Convolutional Neural Network and Long Short-Term Memory Network. -- FallGuardian: Wear OS-Based Machine Learning Fall Detection Framework. -- Classification of Different Cancer Types Based on RNA HI-SEQ Data Using Dimensionality Reduction. -- YOLO-V4 Based Detection of Varied Hand Gestures in Heterogeneous Settings. -- Comparative Analysis of Pre-Trained CNN Models for Neurobiological Disease Classification. -- An Overview of Data Security Algorithms in Cloud Computing. -- Application of AI and Informatics in Network, Security, and Analytics. -- Optimizing Round-Robin Scheduling Algorithm Performance in Real-time Systems. -- Enhancing Outdoor Comfort: A Machine Learning Framework for Predicting Comfort Level. -- Augmented Reality in the Fields of Management and Business: A Bibliometric Review of the Literature. -- CDSER: Sentiment Analysis for Product Selection to Enhance E-commerce Review System. -- Screening of Enhanced Oil Recovery Methods Using Supervised Machine Learning Predicated on Range Data. -- A Survey on Nature-Inspired Optimization Methods for Effective Task Scheduling in Cloud Computing Environment. -- Enhancing Internet of Things Security with Random Forest-Based Anomaly Detection. -- A Survey of Challenges Associated with Cloud Computing Security.
Record Nr. UNINA-9910881090103321
Mahmud Mufti  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of Trends in Electronics and Health Informatics : TEHI 2022 / / edited by Mufti Mahmud, Claudia Mendoza-Barrera, M. Shamim Kaiser, Anirban Bandyopadhyay, Kanad Ray, Eduardo Lugo
Proceedings of Trends in Electronics and Health Informatics : TEHI 2022 / / edited by Mufti Mahmud, Claudia Mendoza-Barrera, M. Shamim Kaiser, Anirban Bandyopadhyay, Kanad Ray, Eduardo Lugo
Autore Mahmud Mufti
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (506 pages)
Disciplina 610.285
Altri autori (Persone) Mendoza-BarreraClaudia
KaiserM. Shamim
BandyopadhyayAnirban
RayKanad
LugoEduardo
Collana Lecture Notes in Networks and Systems
Soggetto topico Power electronics
Medical informatics
Artificial intelligence
Quantitative research
Power Electronics
Health Informatics
Artificial Intelligence
Data Analysis and Big Data
ISBN 981-9919-16-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Experimental Study of High-Frequency Drill String Vibrations Under Different Conditions -- Flexible Systolic Hardware Architecture for Computing a Custom Lightweight CNN in CT Images Processing for Automated COVID-19 Diagnosis -- Dimensionality Reduction in Handwritten Digit Recognition -- Obtaining Fractal Dimension for Gene Expression Time Series Using an Artificial Neural Network -- Grouping by Mixture of Normals for Breast Cancer in Two Groups, Benign and Malignant.
Record Nr. UNINA-9910734867003321
Mahmud Mufti  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui