Impact of fracturing on the hydrological flow in the Liassic nappe of the Causse d'Agouraï, Middle Atlas, Morocco by Soukaina Mouljebouj, Mohamed Saadi, Afaf Amine, Ayoub Achbaro, Rida Haddane

“…The study emphasizes the importance of NW-SE fractures and karst features in groundwater evaluation and recharge mechanisms in the Agouraï Plateau. …”
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Real-Time Fire Detection Method Based on Computer Vision for Electric Vehicle Charging Safety Monitoring by Yuchen Gao, Qing Yang, Shiyu Zhang, Dexin Gao

“…Therefore, a target detection model based on the improved YOLOv5 (You Only Look Once) algorithm is proposed for the features generated by lithium battery combustion, using the K-means algorithm to cluster and analyse the target locations within the dataset, while adjusting the residual structure and the number of convolutional kernels in the network and embedding a convolutional block attention module (CBAM) to improve the detection accuracy without affecting the detection speed. …”
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Geological conditions for shale oil formation in the fourth member of Funing Formation of Eocene series in Jintan Basin by ZANG Suhua,JING Xiaoming,LIU Zhihua,YIN Yanling

“…This study evaluates the unconventional oil and gas exploration potential of the Cenozoic residual basins in southern Jiangsu, focusing on Jintan Basin. …”
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Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method by Behnam Seyedi, Octavian Postolache

“…However, IoT systems face significant security challenges due to decentralized architectures, resource-constrained devices, and dynamic network environments. These challenges include denial-of-service (DoS) attacks, anomalous network behaviors, and data manipulation, which threaten the security and reliability of IoT ecosystems. …”
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End-to-End CNN conceptual model for a biometric authentication mechanism for ATM machines by Karthikeyan Velayuthapandian, Natchiyar Murugan, Saranya Paramasivan

“…The multiscale attention mechanism in face recognition enhances feature extraction by applying convolution filters at various scales, allowing the network to capture detailed and global facial features. …”
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Composition of Innovative Activity’ Parameters for a System of Analysis and Making Decision in the Innovations by Irina Anatolyevna Razumova, Nadezhda Nikolaevna Pokrovskaya, Lilia Vilyevna Akhmerova

“…The necessity to develop the characteristics of innovation activity includes both statistical and economic characteristics, as well as wider possibilities for processing large data with the use of neural network technologies, namely, analysis of weak signals from various sources, taking into account industry specific features and analysis of the dependence of innovation activity on Demand by local, regional or national populations for innovative products and services. …”
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TCAINet an RGB T salient object detection model with cross modal fusion and adaptive decoding by Hong Peng, Yunfei Hu, Baocai Yu, Zhen Zhang

“…To address these limitations, this paper proposes a novel salient object detection network, TCAINet. The network integrates a Channel Attention (CA) mechanism, an enhanced cross-modal fusion module (CAF), and an adaptive decoder (AAD) to improve both the depth and breadth of feature fusion. …”
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Comparative Analysis of Data Visualization and Deep Learning Models in Air Quality Forecasting by Bihter Daş, Damla Mengus

“…This study utilizes air pollution data from the Continuous Monitoring Center of the Ministry of Environment, Urbanization, and Climate Change in Turkey to predict various pollutants using three advanced deep learning approaches: LSTM (Long Short-Term Memory), CNN (Convolutional Neural Network), and RNN (Recurrent Neural Network). Missing data in the dataset were imputed using the K-Nearest Neighbor (K-NN) algorithm to ensure data completeness. …”
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Frame topology fusion-based hierarchical graph convolution for automatic assessment of physical rehabilitation exercises by Shaohui Zhang, Qiuying Han, Peng Wang, Junjie Li

“…To address these challenges, we propose a Frame Topology Fusion Hierarchical Graph Convolution Network (FTF-HGCN). This method aims to provide a more precise assessment of rehabilitation movement quality by effectively modeling both spatial and temporal features. …”
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Physico-Chemical and Texture Properties of Gelatin-Free Jelly Desserts by Nepovinnykh N., Petrova O., Belova N., Yeganehzad S.

“…The authors focused on the texture which is responsible for gel network formation of desserts. Hydrocolloids are widely used in many food formulations to improve quality attributes and shelf-life. …”
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Efficient Brain Tumor Segmentation for MRI Images Using YOLO-BT by Mengying Xiong, Aiping Wu, Yue Yang, Qingqing Fu

“…YOLO-BT uses UNetV2 as the backbone network to enhance the feature extraction ability of key regions through the attention mechanism. …”
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Optimizing physical education schedules for long-term health benefits by Liang Tan, Qin Chen, Jianwei Wu, Mingbang Li, Tianyu Liu

“…The developed DL model integrates convolutional neural network (CNN) layers to capture spatial features and long short-term memory (LSTM) layers to extract temporal patterns from demographic and activity-related variables. …”
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Hybrid LDA-CNN Framework for Robust End-to-End Myoelectric Hand Gesture Recognition Under Dynamic Conditions by Hongquan Le, Marc in het Panhuis, Geoffrey M. Spinks, Gursel Alici

“…Within this framework, 1D-CNN filters are trained to generate latent representation that closely approximates Fisher’s (LDA’s) discriminant subspace, constructed from handcrafted features. Under the train-one-test-all evaluation scheme, our proposed hybrid framework consistently outperformed the 1D-CNN trained with cross-entropy loss only, showing improvements from 4% to 11% across two public datasets featuring hand gestures recorded under various limb positions and arm muscle contraction levels. …”
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An Integrated Deep Learning Model with EfficientNet and ResNet for Accurate Multi-Class Skin Disease Classification by Madallah Alruwaili, Mahmood Mohamed

“…The neural network model uses its capability to extract detailed features from multiple strong architectures to reach accurate results along with tight classification precision. …”
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Enhancing Thyroid Nodule Assessment With UTV-ST Swin Kansformer: A Multimodal Approach to Predict Invasiveness by Yufang Zhao, Yue Li, Yanjing Zhang, Xiaohui Yan, Guolin Yin, Liping Liu

“…By analyzing ultrasound video features using the Video Swin Transformer and clinical data using a text analysis module based on the KAN network, and then fusing these features, the model achieves a classification accuracy of 82.1% and an average AUC of 94.2%. …”
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A hybrid cellular automaton model integrated with 3DCNN and LSTM for simulating land use/cover change by Wei Yang, Yu Zhang, Kun Hou, Xuejing Wang

“…The results indicate that DST-CA outperforms traditional models and the four temporal-feature models across four evaluation metrics, including Overall Accuracy (OA), F1-score, Figure of Merit (FoM), and Kappa coefficient. …”
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SDFA-Net: Synergistic Dynamic Fusion Architecture With Deformable Attention for UAV Small Target Detection by Yunsong Qi, Hengwei Cao

“…Address the problem of leakage and misjudgment in small-target detection in aerial images. At the network architecture level, first, a lightweight multiscale attention feature extraction architecture is designed to improve the base module by introducing a heavily parameterized convolution and incorporating a multiscale attention mechanism. …”
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Advanced Multi-Scale CNN-BiLSTM for Robust Photovoltaic Fault Detection by Xiaojuan Zhang, Bo Jing, Xiaoxuan Jiao, Ruixu Yao

“…The proposed framework employs four parallel CNN branches with kernel sizes of 3, 7, 15, and 31 to capture temporal patterns across various time scales. These features are then integrated by an adaptive feature fusion network that utilizes multi-head attention. …”
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Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm by Shui-Hua Wang, Khan Muhammad, Yiding Lv, Yuxiu Sui, Liangxiu Han, Yu-Dong Zhang

“…The wavelet Renyi entropy is proposed to provide multiresolution and multiscale analysis of features, describe the complexity of the brain structure, and extract the distinctive features. …”
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Automated Detection of Galactic Rings from Sloan Digital Sky Survey Images by Linn Abraham, Sheelu Abraham, Ajit K. Kembhavi, N. S. Philip, A. K. Aniyan, Sudhanshu Barway, Harish Kumar

“…—carry information about their structure, origin, and evolution. It is therefore important to catalog and study such features and to correlate them with other basic galaxy properties, the environments in which the galaxies are located, and their interactions with other galaxies. …”
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