AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK by LAWRENCE OMOTOSHO, IBRAHIM OGUNDOYIN, OLAJIDE ADEBAYO, JOSHUA OYENIYI

“…In this paper, we developed a face-iris multimodal biometric recognition system based on convolutional neural network for feature extraction, fusion at feature level, training and matching to reduce dimensionality, error rate and improve the recognition accuracy suitable for an access control. …”
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A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images by Muhammad Attique Khan, Usama Shafiq, Ameer Hamza, Anwar M. Mirza, Jamel Baili, Dina Abdulaziz AlHammadi, Hee-Chan Cho, Byoungchol Chang

“…Bayesian Optimization (BO) is employed for dynamic hyperparameter tuning, and an Entropy-controlled Marine Predators Algorithm (EMPA) selects optimal features. These features are classified using a Shallow Wide Neural Network (SWNN) and traditional classifiers. …”
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A retrieval-augmented prompting network for hateful meme detection by Qiuhua Kuang, Yihao Lin, Junxi Liu, Xiazhi Lai, Runlu Zhong

“…Based on the prompting framework, attention networks are employed to extract critical features from input instance and examples. …”
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Classification of Melanoma Cancer Using Deep Convolutional Neural Networks by Emrah Dönmez, Ali Güneş

“…This iterative enhancement aimed to improve the model’s capability to extract and analyze features from skin images. Each model configuration was meticulously evaluated through a series of experiments to determine its diagnostic performance. …”
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Synthetic ECG signal generation using generative neural networks. by Edmond Adib, Fatemeh Afghah, John J Prevost

“…Five different methods for evaluating generated beats were proposed and applied. …”
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Wi-FiAG: Fine-Grained Abnormal Gait Recognition via CNN-BiGRU with Attention Mechanism from Wi-Fi CSI by Anming Dong, Jiahao Zhang, Wendong Xu, Jia Jia, Shanshan Yun, Jiguo Yu

“…Compared to traditional CNNs, which rely solely on spatial features, or recurrent neural networks like long short-term memory (LSTM) and gated recurrent units (GRUs), which primarily capture temporal dependencies, the proposed CNN-BiGRU network integrates both spatial and temporal features concurrently. …”
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MIF-YOLO: An Enhanced YOLO with Multi-Source Image Fusion for Autonomous Dead Chicken Detection by Jiapan Li, Yan Zhang, Yong Zhang, Hongwei Shi, Xianfang Song, Chao Peng

“…To address the challenge of feature extraction under conditions of significant occlusion, the model incorporates the Rep-DCNv3 module, which augments the backbone network's capacity to discern subtle characteristics of dead chickens. …”
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Robust Resilience Blocks Detection Problem in Dynamic Social Networks by Yuxin Gao, Jianming Zhu, Peikun Ni, Guoqing Wang

“…Finding a stable community in dynamically developing networks is crucial. In this study, we introduce an innovative concept of resilience, originally rooted in infrastructure networks, and merge it with the distinctive features of k-core graphs to define a novel community structure in dynamic networks-referred to as the k-block. …”
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Distracted driver behavior recognition using modified capsule networks by Jimmy Abdel Kadar, Margareta Aprilia Kusuma Dewi, Endang Suryawati, Ana Heryana, Vicky Zilfan, Budiarianto Suryo Kusumo, Raden Sandra Yuwana, Ahmad Afif Supianto, Hasih Pratiwi, Hilman Ferdinandus Pardede

“…Detect driver behaviors using a capsule network with leave-one-subject-out validation. The study was done using CapsNet with leave-one-subject-out validation to identify driving habits. …”
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Uncertainty-Aware Parking Prediction Using Bayesian Neural Networks by Alireza Nezhadettehad, Arkady Zaslavsky, Abdur Rakib, Seng W. Loke

“…This paper proposes a Bayesian Neural Network (BNN)-based framework for parking occupancy prediction that explicitly models both epistemic and aleatoric uncertainty. …”
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Spatiotemporal Multivariate Weather Prediction Network Based on CNN-Transformer by Ruowu Wu, Yandan Liang, Lianlei Lin, Zongwei Zhang

“…Therefore, we designed a spatiotemporal coupled prediction network based on convolution and Transformer for weather prediction from the perspective of multivariate spatiotemporal fields. …”
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Fault Detection System of Photovoltaic Based on Artificial Neural Network by Ali Salman Zamzeer, Mansour S. Farhan, Haider TH. ALRikabi

“…This model determines four parameters (V-load in Volts, I-load in Amps, Irradiance in W/m2, and Temperature in Celsius) under varying situations (five temperature values, three irradiance values, and three-time events), which are repeated for all faults evaluated. In the training and testing phases of the proposed ANN, these four parameters are utilized as effective features. …”
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Integrated Fusion Network for Hyperspectral, Multispectral and Panchromatic Data Fusion by Jinyin Pan, Shidong Wang, Huachao Li, Zhanliang Yuan, Binbin Yuan, Jinyan Peng, Yuanyuan Liu

“…To address this issue, this paper proposes IFNPMH, which is an integrated fusion network for used for the fusion of HSI, MSI, and PAN. …”
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Delay reduction and interference mitigation by resource management for IAB networks by Chourouk Ghodhbane, Patrick Savelli, Cedric Gueguen, Xavier Lagrange

“…The evaluation is performed through discrete-event simulations under two types of traffic and varying network loads. …”
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DFDA-AD: An Approach with Dual Feature Extraction Architecture and Dual Attention Mechanism for Image Anomaly Detection by Babak Masoudi

“…DFDA-AD consists of dual feature extraction from images by pre-trained DenseNet121 and ResNet50 networks. …”
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Embedding delay‐based physical unclonable functions in networks‐on‐chip by Prasad Nagabhushanamgari, Vikash Sehwag, Indrajit Chakrabarti, Santanu Chattopadhyay

“…Abstract Physical unclonable functions (PUFs) are emerging as security primitives by exploiting the intrinsic device features in various hardware security solutions. This article proposes a mechanism to embed delay‐based PUFs, namely arbiter PUF and ring‐oscillator PUF, in the network‐on‐chip (NoC) architecture. …”
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Optimizing Artificial Neural Networks Using Mountain Gazelle Optimizer by Muhammed Abdulhamid Karabiyik, Bahaeddin Turkoglu, Tunc Asuroglu

“…The MGO algorithm leverages its unique features, including hierarchical social structure and adaptive movement strategies, to effectively navigate the complex parameter space of neural networks. …”
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LLM-Based Cyberattack Detection Using Network Flow Statistics by Leopoldo Gutiérrez-Galeano, Juan-José Domínguez-Jiménez, Jörg Schäfer, Inmaculada Medina-Bulo

“…Our system is anomaly-based and takes statistics of already finished network flows as input. This work makes significant contributions by introducing a novel methodology for adapting its original task from natural language processing to cybersecurity, achieved by transforming numerical network flow features into a unique abstract artificial language for the model input. …”
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Detecting Botrytis Cinerea Control Efficacy via Deep Learning by Wenlong Yi, Xunsheng Zhang, Shiming Dai, Sergey Kuzmin, Igor Gerasimov, Xiangping Cheng

“…The method integrates colony growth environment data and images as network inputs, achieving real-time prediction of colony area through an improved RepVGG network. …”
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Clinically interpretable multiclass neural network for discriminating cardiac diseases by Agnese Sbrollini, Chiara Leoni, Micaela Morettini, Cees A. Swenne, Laura Burattini

“…Classification performance was evaluated by the area under the curve of the receiver operating characteristics. …”
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