الرئيسية › دليل الباحثين › Bassem Bouaziz
Bassem Bouaziz
الانتماء : University of Sfax
- 85منشورات (انتماء تونسي)
- 118مجموع المنشورات
- 5037الاستشهادات
- 20مؤشر h
الملف البحثي
لدى Bassem Bouaziz 85 منشور(ات) مفهرسة (2015–2026). تُنشر أعماله أساسًا في «Lecture notes in computer science»، «Lecture notes in networks and systems» و«Nutrients». أكثر مقالاته استشهادًا هو «Effects of COVID-19 Home Confinement on Eating Behaviour and Physical Activity: Results of the ECLB-COVID19 International Online Survey» (2020)، وقد استُشهد به 2073 مرة. 31 من هذه المنشورات تعود إلى آخر ثلاث سنوات من النشاط. شارك في تأليف أعماله 12 باحثًا على الأقل، منهم باحثون من مؤسسات في ألمانيا، فرنسا، الأردن، قطر.
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إنشاء ملفي المجاني إضافة منشوراتيمجالات البحث
- Dementia and Cognitive Impairment Research
- Advanced Neural Network Applications
- EEG and Brain-Computer Interfaces
- Emotion and Mood Recognition
- Smart Agriculture and AI
المنشورات (85)
- Multifactorial determinants of health status: insights from the MEDIET4ALL large-scale survey on eco-sociodemographic, psychological, and lifestyle (diet, physical activity, and sleep) factors
- Cross-country variability in Mediterranean lifestyle adherence and its psychosocial and behavioural correlates: insights from the MEDIET4ALL project across 10 Mediterranean and neighboring countries
- Physical Activity and Sedentary Behaviour in the MEDIET4ALL Study: Associations with Mediterranean Lifestyle, Sleep, and Psychosocial Well-Being, with Mediation Analyses
- Quantum-enhanced recurrent models for cognitive–motor assessment
- Sleep Characteristics and Insomnia Severity in Relation to Mediterranean Lifestyle Adherence and Psychosocial Wellbeing: Findings from the MEDIET4ALL International Survey
- Life Satisfaction and Psychological Distress in Relation to Mediterranean Lifestyle Adherence and Behavioural Correlates: Findings from the MEDIET4ALL International Survey
- NeuroSync-Agent: A Real-Time Multimodal Fusion and LLM Reasoning Framework for Cognitive-State Inference
- Generative Transformer-Based Cross-Modal EEG-HRV Fusion for MCI Detection
- Depth-Based Food Volume Estimation for Dietary Monitoring: A Case Study on Tunisian Cuisine
- NeuroYOLO: Data-Efficient Fine-Tuning of YOLOv11 for Vision-Based Rehabilitation Monitoring
- Lifestyle, Sleep, and Psychological Correlates of Social Participation Across Mediterranean and Neighbouring Countries: Findings from the MEDIET4ALL Survey
- An overview of methods and techniques in multimodal data fusion with application to healthcare
- Regional variations in Mediterranean diet adherence: a sociodemographic and lifestyle analysis across Mediterranean and non-Mediterranean regions within the MEDIET4ALL project
- Gender-specific insights into adherence to Mediterranean diet and lifestyle: analysis of 4,000 responses from the MEDIET4ALL project
- Exploring Determinants of Mediterranean Lifestyle Adherence: Findings from the Multinational MEDIET4ALL e-Survey Across Ten Mediterranean and Neighboring Countries
- Innovative multi-modal approaches to Alzheimer’s disease detection: Transformer hybrid model and adaptive MLP-Mixer
- Correction: Gender-specific insights into adherence to Mediterranean diet and lifestyle: analysis of 4,000 responses from the MEDIET4ALL project
- A Multimodal Transformer with Adaptive GAN for Brain Disease Prediction
- Empirical Mode Decomposition and Attention-Driven Deep Fusion of Electroencephalographic and Heart Rate Variability Data for Cognitive Impairment Detection
- Optimized and Explainable Feature Selection for Soil Moisture Prediction Across Sites
- Hybrid EEG-fNIRS Detection of MCI Subtypes Based on Transformer Network
- Self-Calibrated Convolutions Towards Multimodal Rgb-Depth Food Image Semantic Segmentation
- Neurosyncai: Large Language Model-Powered Multimodal Electroencephalogram, Heart Rate Variability, and Pose Analysis for Cognitive and Motor Function Assessment
- MCI detection using transformers for EEG-HRV fusion
- Efficient Attention-Guided CNN for Alzheimer’s Disease Prediction
- Eyebrow, Blink and Head Movement Artifacts Detection from EEG Signals Using Machine Learning Techniques
- Quantifying Motor Adaptation: A Hybrid AI Approach for Interpreting Short-Term Gait Variability
- AI-Based Recommender System for a Healthy Lifestyle
- Mild Cognitive Impairment detection based on EEG and HRV data
- Classifying Ocular and Muscle Artifacts in EEG Signals
- Auto-encoding multispectral data for leaf nitrogen content estimation
- Efficient multimodel method based on transformers and CoAtNet for Alzheimer's diagnosis
- A new long short-term memory based approach for soil moisture prediction
- New MCI Detection Method Based on Transformer and EEG Data
- Explainable Machine Learning for Evapotranspiration Prediction
- Exploratory study of the acute and mid-term effects of using a novel dynamic meeting environment (Aeris®) on cognitive performance and neurophysiological responses
- Boruta-AttLSTM: A Novel Deep Learning Architecture for Soil Moisture Prediction
- EEG and fMRI Artifact Detection Techniques: A Survey of Recent Developments
- Early mild cognitive impairment detection using cognitive-motor tasks and machine learning
- Minimal Window Duration for Identifying Cognitive Decline Using Movement-Related Versus Rest-State EEG
- Computerized Irrigation Scheduling
- A deep learning-based approach for detecting plant organs from digitized herbarium specimen images
- Deep learning based approach for digitized herbarium specimen segmentation
- Alzheimer’s Disease Detection Using Deep ECA-ResNet101 Network with DCGAN
- CrossViT Wide Residual Squeeze-and-Excitation Network for Alzheimer’s disease classification with self attention ProGAN data augmentation
- Physiological/Non-physiological artifacts classification using EEG signals based on CNN
- A Convolutional Neural Network for Artifacts Detection in EEG Data
- The Use of Digital Technology to Assess Cognitive Function in Tunisian Adults
- Depthwise Separable Convolution ResNet with attention mechanism for Alzheimer's detection*
- Bayesian Optimization Using Hamiltonian Dynamics for Sparse Artificial Neural Networks
- Non-smooth Bayesian learning for artificial neural networks
- MCI identification based on EEG signals during a cognitive test
- Mild cognitive impairment classification based on a deep learning-based approach using EEG data
- Deep Squeeze and Excitation-Densely Connected Convolutional Network with cGAN for Alzheimer’s Disease Early Detection
- Efficient Bayesian Learning of Sparse Deep Artificial Neural Networks
- Bayesian Optimization for Sparse Artificial Neural Networks: Application to Change Detection in Remote Sensing
- Bayesian optimization for artificial neural networks: application to Covid-19 image classification
- Globally altered sleep patterns and physical activity levels by confinement in 5056 individuals: ECLB COVID-19 international online survey
- Sleep Quality and Physical Activity as Predictors of Mental Wellbeing Variance in Older Adults during COVID-19 Lockdown: ECLB COVID-19 International Online Survey
- Convolutional Neural Network for Drowsiness Detection Using EEG Signals
- Deep leaf: Mask R-CNN based leaf detection and segmentation from digitized herbarium specimen images
- Does observance of Ramadan affect sleep in athletes and physically active individuals? A systematic review and meta‐analysis
- Psychosocial Effects and Use of Communication Technologies during Home Confinement in the First Wave of the COVID-19 Pandemic in Italy and The Netherlands
- Distance Motor Learning during the COVID-19 Induced Confinement: Video Feedback with a Pedagogical Activity Improves the Snatch Technique in Young Athletes
- Alzheimer’s Disease Prediction Using EfficientNet and Fastai
- PhenoDeep: A Deep Learning-Based Approach for Detecting Reproductive Organs from Digitized Herbarium Specimen Images
- Effects of COVID-19 Home Confinement on Eating Behaviour and Physical Activity: Results of the ECLB-COVID19 International Online Survey
- Effects of home confinement on mental health and lifestyle behaviours during the COVID-19 outbreak: Insight from the ECLB-COVID19 multicenter study
- COVID-19 Home Confinement Negatively Impacts Social Participation and Life Satisfaction: A Worldwide Multicenter Study
- Psychological consequences of COVID-19 home confinement: The ECLB-COVID19 multicenter study
- Effects of Polyphenol-Rich Interventions on Cognition and Brain Health in Healthy Young and Middle-Aged Adults: Systematic Review and Meta-Analysis
- Applying digital technology to promote active and healthy confinement lifestyle during pandemics in the elderly
- The Effect of (Poly)phenol-Rich Interventions on Cognitive Functions and Neuroprotective Measures in Healthy Aging Adults: A Systematic Review and Meta-Analysis
- ProgNet: COVID-19 Prognosis Using Recurrent and Convolutional Neural Networks
- A Convolutional Neural Network for Lentigo Diagnosis
- Objects Detection from Digitized Herbarium Specimen based on Improved YOLO V3
- EEG-Based Hypo-vigilance Detection Using Convolutional Neural Network
- Moderators of the Impact of (Poly)Phenols Interventions on Psychomotor Functions and BDNF: Insights from Subgroup Analysis and Meta-Regression
- Brain Image Processing Using Deep Learning: An Overview
- Epileptic Seizure Detection Using a Convolutional Neural Network
- Work in Progress – Establishing a Master Program in Cyber Physical Systems: Basic Findings and Future Perspectives
- Ontology Visualization: An Overview
- A Deep Learning-based Approach for Banana Leaf Diseases Classification
- Content Video Browsing Based on Text Regions Extraction and Classification Using Convolutional Neural Network
- Automatic topics segmentation for TV news video using prior knowledge
مجلات النشر
- Lecture notes in computer science × 7
- Lecture notes in networks and systems × 6
- Nutrients × 4
- Communications in computer and information science × 4
- International Journal of Environmental Research and Public Health × 4
- Frontiers in Nutrition × 3
المنشورات حسب السنة
- 202611
- 202517
- 20243
- 202310
- 202216
- 20219
- 202013
- 20192
- 20181
- 20172
التعاون العلمي
المؤسسات الشريكة : Institut Supérieur du Sport et de l’Éducation Physique de Sfax · Faculty of Medicine of Sfax · Johannes Gutenberg University Mainz · Digital Research Centre of Sfax · Faculty of Economics and Management of Sfax
بلدان المؤلفين المشاركين : ألمانيا · فرنسا · الأردن · قطر
المؤلفون المشاركون
- Khaled Trabelsi
- Faı̈ez Gargouri
- Hamdi Chtourou
- Walid Mahdi
- Siwar Chaabene
- Achraf Ammar
- Liwa Masmoudi
- Kaïs El Abed
- Mohamed Ali Boujelbane
- Omar F. Boukhris
- Amal Boudaya
- Mohamed Kerkeni
البيانات البيبليوغرافية مصدرها OpenAlex (قاعدة مفتوحة).
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