Ausgabe 4/2024
Inhalt (41 Artikel)
- Correspondence
Neuromorphic Cognitive Learning Systems: The Future of Artificial Intelligence?
Vassilis Cutsuridis
- Open Access
Evaluating Explainable Machine Learning Models for Clinicians
Noemi Scarpato, Aria Nourbakhsh, Patrizia Ferroni, Silvia Riondino, Mario Roselli, Francesca Fallucchi, Piero Barbanti, Fiorella Guadagni, Fabio Massimo Zanzotto
- Open Access
- Research
Multi-resolution Twinned Residual Auto-Encoders (MR-TRAE)—A Novel DL Model for Image Multi-resolution
Alireza Momenzadeh, Enzo Baccarelli, Michele Scarpiniti, Sima Sarv Ahrabi
A Novel Memristors Based Echo State Network Model Inspired by the Brain’s Uni-hemispheric Slow-Wave Sleep Characteristics
Jingyu Sun, Lixiang Li, Haipeng Peng, Yin Meng
CPD-NSL: A Two-Stage Brain Effective Connectivity Network Construction Method Based on Dynamic Bayesian Network
Zhiqiong Wang, Qi Chen, Zhongyang Wang, Xinlei Wang, Luxuan Qu, Junchang Xin
A Review of Key Technologies for Emotion Analysis Using Multimodal Information
Xianxun Zhu, Chaopeng Guo, Heyang Feng, Yao Huang, Yichen Feng, Xiangyang Wang, Rui Wang
Neurosymbolic AI for Mining Public Opinions about Wildfires
Cuc Duong, Vethavikashini Chithrra Raghuram, Amos Lee, Rui Mao, Gianmarco Mengaldo, Erik Cambria
A Multi-task Shared Cascade Learning for Aspect Sentiment Triplet Extraction Using BERT-MRC
Wang Zou, Wubo Zhang, Wenhuan Wu, Zhuoyan Tian
- Open Access
Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data
Diego García-Gil, Salvador García, Ning Xiong, Francisco Herrera
Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19
Abdullahi Umar Ibrahim, Mehmet Ozsoz, Sertan Serte, Fadi Al-Turjman, Polycarp Shizawaliyi Yakoi
A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: an Experimental Case on a Limited COVID-19 Chest X-ray Dataset
Nour Eldeen M. Khalifa, Florentin Smarandache, Gunasekaran Manogaran, Mohamed Loey
COV19-CNNet and COV19-ResNet: Diagnostic Inference Engines for Early Detection of COVID-19
Ayturk Keles, Mustafa Berk Keles, Ali Keles
Integrating Metamaterial Antenna Node and LiFi for Privacy Preserving Intelligent COVID-19 Hospital Patient Management
A. Garhwal, M. Bunruangses, A. E. Arumona, P. Youplao, K. Ray, S. Suwandee, P. Yupapin
COVID-19 Diagnosis via DenseNet and Optimization of Transfer Learning Setting
Yu-Dong Zhang, Suresh Chandra Satapathy, Xin Zhang, Shui-Hua Wang
Automatic Screening of COVID-19 Using an Optimized Generative Adversarial Network
Tripti Goel, R. Murugan, Seyedali Mirjalili, Deba Kumar Chakrabartty
Deep Learning-Based Potential Ligand Prediction Framework for COVID-19 with Drug–Target Interaction Model
Shatadru Majumdar, Soumik Kumar Nandi, Shuvam Ghosal, Bavrabi Ghosh, Writam Mallik, Nilanjana Dutta Roy, Arindam Biswas, Subhankar Mukherjee, Souvik Pal, Nabarun Bhattacharyya
Shallow Convolutional Neural Network for COVID-19 Outbreak Screening Using Chest X-rays
Himadri Mukherjee, Subhankar Ghosh, Ankita Dhar, Sk Md Obaidullah, K. C. Santosh, Kaushik Roy
4P Model for Dynamic Prediction of COVID-19: a Statistical and Machine Learning Approach
Khandaker Tabin Hasan, M. Mostafizur Rahman, Md. Mortuza Ahmmed, Anjir Ahmed Chowdhury, Mohammad Khairul Islam
An Agent-Based Modeling of COVID-19: Validation, Analysis, and Recommendations
Md. Salman Shamil, Farhanaz Farheen, Nabil Ibtehaz, Irtesam Mahmud Khan, M. Sohel Rahman
Deep Learning–Driven Automated Detection of COVID-19 from Radiography Images: a Comparative Analysis
Sejuti Rahman, Sujan Sarker, Md Abdullah Al Miraj, Ragib Amin Nihal, A. K. M. Nadimul Haque, Abdullah Al Noman
- Open Access
COVID-19 Infection Detection from Chest X-Ray Images Using Hybrid Social Group Optimization and Support Vector Classifier
Asu Kumar Singh, Anupam Kumar, Mufti Mahmud, M Shamim Kaiser, Akshat Kishore
- Open Access
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad T. Islam
- Open Access
Data Analysis and Forecasting of the COVID-19 Spread: A Comparison of Recurrent Neural Networks and Time Series Models
Daniela A. Gomez-Cravioto, Ramon E. Diaz-Ramos, Francisco J. Cantu-Ortiz, Hector G. Ceballos
Deep Learning–Based Approaches to Improve Classification Parameters for Diagnosing COVID-19 from CT Images
Huseyin Yasar, Murat Ceylan
Text Analysis of Evolving Emotions and Sentiments in COVID-19 Twitter Communication
Veda C. Storey, Daniel E. O’Leary
Particle Swarm Optimization-Based Extreme Learning Machine for COVID-19 Detection
Musatafa Abbas Abbood Albadr, Sabrina Tiun, Masri Ayob, Fahad Taha AL-Dhief
Emotion Analysis of COVID-19 Vaccines Based on a Fuzzy Convolutional Neural Network
Dong Qiu, Yang Yu, Lei Chen
COVID-19 Detection: A Systematic Review of Machine and Deep Learning-Based Approaches Utilizing Chest X-Rays and CT Scans
Kirti Raj Bhatele, Anand Jha, Devanshu Tiwari, Mukta Bhatele, Sneha Sharma, Muktasha R. Mithora, Stuti Singhal
Optimization Based Deep Learning for COVID-19 Detection Using Respiratory Sound Signals
Jawad Ahmad Dar, Kamal Kr Srivastava, Sajaad Ahmed Lone
WatMIF: Multimodal Medical Image Fusion-Based Watermarking for Telehealth Applications
Kedar Nath Singh, Om Prakash Singh, Amit Kumar Singh, Amrit Kumar Agrawal
Deep Recurrent Regression with a Heatmap Coupling Module for Facial Landmarks Detection
M. Hassaballah, Eman Salem, Abdel-Magid M. Ali, Mountasser M. Mahmoud
A Deep Learning Approach for Robust, Multi-oriented, and Curved Text Detection
Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Shokofeh Anari, Sadaf Safavi, Nazanin Tataei Sarshar, Erfan Babaee Tirkolaee, Malika Bendechache
Quantitative Susceptibility Mapping in Cognitive Decline: A Review of Technical Aspects and Applications
Shradha Verma, Tripti Goel, M. Tanveer
DCTGM: A Novel Dual-channel Transformer Graph Model for miRNA-disease Association Prediction
Shanchen Pang, Yu Zhuang, Sibo Qiao, Fuyu Wang, Shudong Wang, Zhihan Lv
Lightweight 3D Convolutional Neural Network for Schizophrenia Diagnosis Using MRI Images and Ensemble Bagging Classifier
P. SupriyaPatro, Tripti Goel, S. A. VaraPrasad, M. Tanveer, R. Murugan
Tumor Localization and Classification from MRI of Brain using Deep Convolution Neural Network and Salp Swarm Algorithm
Jaber Alyami, Amjad Rehman, Fahad Almutairi, Abdul Muiz Fayyaz, Sudipta Roy, Tanzila Saba, Alhassan Alkhurim
EEG Signal Classification Using a Novel Universum-Based Twin Parametric-Margin Support Vector Machine
Barenya Bikash Hazarika, Deepak Gupta, Bikram Kumar
- Open Access
Large-Kernel Attention for 3D Medical Image Segmentation
Hao Li, Yang Nan, Javier Del Ser, Guang Yang
Role of Artificial Intelligence Techniques and Neuroimaging Modalities in Detection of Parkinson’s Disease: A Systematic Review
Nikita Aggarwal, B. S. Saini, Savita Gupta
A Novel Convolutional Neural Network for Head Detection and Pose Estimation in Complex Environments from Single-Depth Images
Qi Wang, Hang Lei, Gun Li, Xupeng Wang, Lu Chen
