Mohamed Maher Ben Ismail
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View article: Unified Spatiotemporal Detection for Isolated Sign Language Recognition Using YOLO-Act
Unified Spatiotemporal Detection for Isolated Sign Language Recognition Using YOLO-Act Open
Isolated Sign Language Recognition (ISLR), which focuses on identifying individual signs from sign language videos, presents substantial challenges due to small and ambiguous hand regions, high visual similarity among signs, and large intr…
View article: Comparison of Orthomosaic Accuracy Based on Unmanned Aerial Vehicle (UAV) Real Time Kinematic (RTK) Radio and RTK NTRIP in Padang City, West Sumatra
Comparison of Orthomosaic Accuracy Based on Unmanned Aerial Vehicle (UAV) Real Time Kinematic (RTK) Radio and RTK NTRIP in Padang City, West Sumatra Open
UAVs with RTK technology offer high-accuracy aerial mapping, with RTK Radio and RTK NTRIP as two correction methods affecting orthomosaic precision. While previous studies compared these methods in terrestrial surveys, their impact on UAV-…
View article: Recent Advances in Male Contraception: Where Are We Now? A Review of Literature
Recent Advances in Male Contraception: Where Are We Now? A Review of Literature Open
View article: The Effectiveness and Cost-Effectiveness of CashPlus Interventions to Prevent Acute Malnutrition in Somalia: Evidence from an Adaptive Cluster Randomized Control Trial
The Effectiveness and Cost-Effectiveness of CashPlus Interventions to Prevent Acute Malnutrition in Somalia: Evidence from an Adaptive Cluster Randomized Control Trial Open
Background Acute malnutrition affects millions of children under five (U5) and pregnant and lactating women (PLW) globally, especially in humanitarian settings. Although “CashPlus” interventions – cash or food transfers combined with compl…
View article: YOLO-Act: Unified Spatiotemporal Detection of Human Actions Across Multi-Frame Sequences
YOLO-Act: Unified Spatiotemporal Detection of Human Actions Across Multi-Frame Sequences Open
Automated action recognition has become essential in the surveillance, healthcare, and multimedia retrieval industries owing to the rapid proliferation of video data. This paper introduces YOLO-Act, a novel spatiotemporal action detection …
View article: Novel Dual-Constraint-Based Semi-Supervised Deep Clustering Approach
Novel Dual-Constraint-Based Semi-Supervised Deep Clustering Approach Open
Semi-supervised clustering can be viewed as a clustering paradigm that exploits both labeled and unlabeled data to steer learning accurate data clusters and avoid local minimum solutions. Nonetheless, the attempts to refine existing semi-s…
View article: Levels and determinants of child wasting relapse: a prospective cohort study from Somalia
Levels and determinants of child wasting relapse: a prospective cohort study from Somalia Open
Background Understanding the rates and determinants of severe acute malnutrition (SAM) relapse is crucial for stakeholders in Somalia, where evidence is limited. This study aimed to assess SAM relapse rates and associated risk factors amon…
View article: Autoencoder-Based Hyperspectral Unmixing with Simultaneous Number-of-Endmembers Estimation
Autoencoder-Based Hyperspectral Unmixing with Simultaneous Number-of-Endmembers Estimation Open
Hyperspectral unmixing plays a fundamental role in mining meaningful information from hyperspectral data. It promotes advancements in various scientific, environmental, and industrial applications by extracting meaningful information from …
View article: KAJIAN LINGUISTIK SISTEMIK FUNGSIONAL PADA KUMPULAN CERITA RAKYAT SUMATERA SELATAN
KAJIAN LINGUISTIK SISTEMIK FUNGSIONAL PADA KUMPULAN CERITA RAKYAT SUMATERA SELATAN Open
Sebuah studi telah dilakukan untuk mengkaji cerita rakyat dari Sumatera Selatan dengan fokus pada aspek genre dan transitivitas. Menggunakan pendekatan kualitatif dengan kerangka linguistik sistemik fungsional, penelitian ini menganalisis …
View article: Balancing Privacy and Utility in Split Learning: An Adversarial Channel Pruning-Based Approach
Balancing Privacy and Utility in Split Learning: An Adversarial Channel Pruning-Based Approach Open
Machine Learning (ML) has been exploited across diverse fields with significant success. However, the deployment of ML models on resource-constrained devices, such as edge devices, has remained challenging due to the limited computing reso…
View article: Gradient Boosting-Based Simultaneous Classification and Regression Approach
Gradient Boosting-Based Simultaneous Classification and Regression Approach Open
The recent development of advanced data analytics and machine learning promoted the introduction of diverse learning techniques designed to alleviate challenges related to two major supervised learning tasks: (i) Classification and (ii) Re…
View article: Mitigating Attribute Inference in Split Learning via Channel Pruning and Adversarial Training
Mitigating Attribute Inference in Split Learning via Channel Pruning and Adversarial Training Open
View article: RobEns: Robust Ensemble Adversarial Machine Learning Framework for Securing IoT Traffic
RobEns: Robust Ensemble Adversarial Machine Learning Framework for Securing IoT Traffic Open
Recently, Machine Learning (ML)-based solutions have been widely adopted to tackle the wide range of security challenges that have affected the progress of the Internet of Things (IoT) in various domains. Despite the reported promising res…
View article: Skin Cancer Recognition Using Unified Deep Convolutional Neural Networks
Skin Cancer Recognition Using Unified Deep Convolutional Neural Networks Open
The incidence of skin cancer is rising globally, posing a significant public health threat. An early and accurate diagnosis is crucial for patient prognoses. However, discriminating between malignant melanoma and benign lesions, such as ne…
View article: A Deep Learning Approach for Brain Tumor Firmness Detection Based on Five Different YOLO Versions: YOLOv3–YOLOv7
A Deep Learning Approach for Brain Tumor Firmness Detection Based on Five Different YOLO Versions: YOLOv3–YOLOv7 Open
Brain tumor diagnosis traditionally relies on the manual examination of magnetic resonance images (MRIs), a process that is prone to human error and is also time consuming. Recent advancements leverage machine learning models to categorize…
View article: Pattern of Pediatric Seizures at Al-Arish Central Hospital - North Sinai
Pattern of Pediatric Seizures at Al-Arish Central Hospital - North Sinai Open
Background: Seizures represent a prevalent etiology for pediatric hospitalization, resulting in notable morbidity and mortality.Seizures are temporary manifestations arising from an atypical, heightened, or synchronized neural activity wit…
View article: Dynamic Depth Learning in Stacked AutoEncoders
Dynamic Depth Learning in Stacked AutoEncoders Open
The effectiveness of deep learning models depends on their architecture and topology. Thus, it is essential to determine the optimal depth of the network. In this paper, we propose a novel approach to learn the optimal depth of a stacked A…
View article: Soft Semi-Supervised Deep Learning-Based Clustering
Soft Semi-Supervised Deep Learning-Based Clustering Open
Semi-supervised clustering typically relies on both labeled and unlabeled data to guide the learning process towards the optimal data partition and to prevent falling into local minima. However, researchers’ efforts made to improve existin…
View article: Toward Improved Machine Learning-Based Intrusion Detection for Internet of Things Traffic
Toward Improved Machine Learning-Based Intrusion Detection for Internet of Things Traffic Open
The rapid development of Internet of Things (IoT) networks has revealed multiple security issues. On the other hand, machine learning (ML) has proven its efficiency in building intrusion detection systems (IDSs) intended to reinforce the s…
View article: Better Safe Than Never: A Survey on Adversarial Machine Learning Applications towards IoT Environment
Better Safe Than Never: A Survey on Adversarial Machine Learning Applications towards IoT Environment Open
Internet of Things (IoT) technologies serve as a backbone of cutting-edge intelligent systems. Machine Learning (ML) paradigms have been adopted within IoT environments to exploit their capabilities to mine complex patterns. Despite the re…
View article: Simultaneous Classification and Regression for Zakat Under-Reporting Detection
Simultaneous Classification and Regression for Zakat Under-Reporting Detection Open
Tax revenue represents an essential budget source for most countries around the world. Accordingly, the modernization of relevant technological infrastructure has become a key factor of tax administration strategy for improving tax collect…
View article: Applications of Artificial Intelligence for Information Diffusion Prediction: Regression-based Key Features Models
Applications of Artificial Intelligence for Information Diffusion Prediction: Regression-based Key Features Models Open
Information diffusion prediction is essential in marketing, advertising, and public health. Public health officials may avoid disease outbreaks, and businesses can optimize marketing campaigns and target audiences. Information diffusion pr…
View article: Depth-Adaptive Deep Neural Network Based on Learning Layer Relevance Weights
Depth-Adaptive Deep Neural Network Based on Learning Layer Relevance Weights Open
In this paper, we propose two novel Adaptive Neural Network Approaches (ANNAs), which are intended to automatically learn the optimal network depth. In particular, the proposed class-independent and class-dependent ANNAs address two main c…
View article: Generalized Replay Spoofing Countermeasure Based on Combining Local Subclassification Models
Generalized Replay Spoofing Countermeasure Based on Combining Local Subclassification Models Open
Automatic speaker verification (ASV) systems play a prominent role in the security field due to the usability of voice biometrics compared to alternative biometric authentication modalities. Nevertheless, ASV systems are susceptible to mal…
View article: Arabic Sign Language Recognition using Lightweight CNN-based Architecture
Arabic Sign Language Recognition using Lightweight CNN-based Architecture Open
Communication is a critical skill for humans. People who have been deprived from communicating through words like the rest of humans, usually use sign language. For sign language, the main signs features are the handshape, the location, th…
View article: X-ray Based COVID-19 Classification Using Lightweight EfficientNet
X-ray Based COVID-19 Classification Using Lightweight EfficientNet Open
The world has been suffering from the Coronavirus (COVID-19) pandemic since its appearance in late 2019. COVID-19 spread has led to a drastic increase of the number of infected people and deaths worldwide. Imminent and accurate diagnosis o…
View article: Prediction of clinical outcomes in women with placenta accreta spectrum using machine learning models: an international multicenter study
Prediction of clinical outcomes in women with placenta accreta spectrum using machine learning models: an international multicenter study Open
Placenta accreta spectrum is a major obstetric disorder that is associated with significant morbidity and mortality. The objective of this study is to establish a prediction model of clinical outcomes in these women PAS-ID is an internatio…
View article: Mining Hidden Partitions of Voice Utterances using Fuzzy Clustering for Generalized Voice Spoofing Countermeasures
Mining Hidden Partitions of Voice Utterances using Fuzzy Clustering for Generalized Voice Spoofing Countermeasures Open
The high level of usability achieved by voice biomet-rics compared to other biometric authentication modalities has promoted the widespread use of automatic speaker verification (ASV) systems as authentication tools for several services in…
View article: Immediate Versus Delayed Cord Clamping in Management of Placenta Accreta Spectrum: Secondary Analysis of Multicenter International Study
Immediate Versus Delayed Cord Clamping in Management of Placenta Accreta Spectrum: Secondary Analysis of Multicenter International Study Open
View article: Joint Deep Clustering: Classification and Review
Joint Deep Clustering: Classification and Review Open
Clustering is a fundamental problem in machine learning. To address this, a large number of algorithms have been developed. Some of these algorithms, such as K-means, handle the original data directly, while others, such as spectral cluste…