Terrain and Atmosphere Classification Framework on Satellite Data Through Attentional Feature Fusion Network by Antoni Jaszcz, Dawid Połap

“…Hence, in this paper, we propose a neural classifier architecture that analyzes different features by the parallel processing of information in the network and combines them with a feature fusion mechanism. …”
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Function Delivery Network: A Spatial-Temporal Execution Orchestrator for Optimizing Serverless Computing by Joel R. Corporan, Arshdeep Bahga, Vijay K. Madisetti

“…We present Function Delivery Network (FDN), a novel spatial-temporal execution orchestrator designed to address key limitations in current serverless computing models. …”
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Research on Detection Methods for Gas Pipeline Networks Under Small-Hole Leakage Conditions by Ying Zhao, Lingxi Yang, Qingqing Duan, Zhiqiang Zhao, Zheng Wang

“…A graph attention network (GAT) is first used to model the spatial dependencies between sensors, capturing the dynamic patterns of adjacent nodes. …”
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Adaptive landslide monitoring in wireless sensor networks using FLPSO-based MIP systems by Lingaraj K, Rashmi Laxmikant Malghan, KarthiK Rao M C, Lalit Garg

“…A case study was conducted in Shiradi village, Mangalore, India, an area characterized by high annual rainfall and changing climatic patterns. Over a year, data was collected and analyzed to evaluate the system's potential for accurate landslide hazard predictions. …”
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ML-Based Self-Optimization Handover Technique for Beyond 5G Mobile Network by Saddam Alraih, Rosdiadee Nordin, Asma Abu-Samah, Ibraheem Shayea, Nor Fadzilah Abdullah

“…In this study, the proposed technique is referred to as the ML-based Self-Optimization Handover Technique (ML-SOHOT). The technique is evaluated and validated using different major HO metrics, including Handover Probability (HOP), Handover Failure (HOF), and Handover Ping-Pong (HOPP) across various mobility patterns in B5G, specifically considering an urban environment. …”
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Optimal Features Driven Attention Network With Medium-Scale Benchmark for Wheat Diseases Recognition by Muhammad Islam, Mohammed Aloraini, Shabana Habib, Meshari D. Alanazi, Ishrat Khan, Aqib Khan

“…The efficacy of the proposed network is validated through comprehensive evaluations conducted on both our proposed and LWDCD2020 benchmarks. …”
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Cost-effectiveness analysis of a multiple health behaviour change intervention in people aged between 45 and 75 years: a cluster randomized controlled trial in primary care (EIRA s... by Ignacio Aznar-Lou, Edurne Zabaleta-Del-Olmo, Marc Casajuana-Closas, Alba Sánchez-Viñas, Elizabeth Parody-Rúa, Bonaventura Bolíbar, Montserrat Iracheta-Todó, Oana Bulilete, Tomàs López-Jiménez, Haizea Pombo-Ramos, María Victoria Martín Miguel, Rosa Magallón-Botaya, Jose Ángel Maderuelo-Fernández, Emma Motrico, Juan Bellón, Ruth Martí-Lluch, Maria Rubio-Valera, Antoni Serrano-Blanco

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A Comprehensive Review on the Application of 3D Convolutional Neural Networks in Medical Imaging by Satyam Tiwari, Goutam Jain, Dasharathraj K. Shetty, Manu Sudhi, Jayaraj Mymbilly Balakrishnan, Shreepathy Ranga Bhatta

“…Convolutional Neural Networks (CNNs) are kinds of deep learning models that were created primarily for processing and evaluating visual input, which makes them extremely applicable in the field of medical imaging. …”
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A Physics-Guided Bayesian Neural Network for Sensor Fault Detection in Wind Turbines by MD Azam Khan, Arifur Rahman, Farhad Uddin Mahmud, Kanchon Kumar Bishnu, Hadiur Rahman Nabil, M. F. Mridha, Md. Jakir Hossen

“…Traditional deep learning models for sensor fault detection rely solely on data-driven patterns, often lacking interpretability and robustness. …”
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GTN-GCN: Real-Time Traffic Forecasting Using Graph Convolutional Network and Transformer by Sadia Naj Jinia, Sumaiya Binte Azad, Rima Akter, Taivan Reza Dipto, Md. Khaliluzzaman

“…A traffic network exhibits inherent characteristics of networks while also possessing unique features that hold significant research value. …”
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ANTIBIOTIC RESISTANCE REPORT FROM THE SURVEILLANCE OF INDONESIA NETWORK ON ANTIMICROBIAL RESISTANCE (SINAR) 2023 by Dewi Anggraini, Pristiawan Navy Endraputra, Rosantia Sarassari, Dewi Santosaningsih, Leli Saptawati, Thomas Robertus, Luh Inta Prilandari, Lusiya Ningsih, Nelly Puspandari, Cahyarini Cahyarini, Evira Tisyakusuma, Wani Devita Gunardi, Anis Karuniawati

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Simultaneous Symptom Network Analysis of Heart Failure Patients: A Cross-Sectional Study by Wu R, Chen L, Li Y, Wang H, Liu M, Yao Y, Chen H, Xiao D

“…Regularized partial correlation network analysis was employed to construct the symptom network and evaluate the centrality of each symptom within the network.Results: Palpitations were found to be the most common symptom among heart failure patients, while lack of energy and depression were the most severe symptoms. …”
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Integrated neural network framework for multi-object detection and recognition using UAV imagery by Mohammed Alshehri, Tingting Xue, Tingting Xue, Ghulam Mujtaba, Yahya AlQahtani, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…Deep SORT is employed for efficient vehicle tracking, while CSRNet facilitates high-density vehicle counting. LSTM networks are integrated to predict vehicle trajectories based on temporal patterns, and a combination of DenseNet and SuperPoint is utilized for robust feature extraction. …”
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A hybrid attack detection strategy for cybersecurity using moth elephant herding optimisation‐based stacked autoencoder by Abdullah Shawan Alotaibi

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SH-SDS: a new static-dynamic strategy for substation host security detection by Yang Diao, Hui Chen, Wei Liu, Abdur Rasool

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Triboelectric Bending Sensors for AI‐Enabled Sign Language Recognition by Wei Wang, Xiangkun Bo, Weilu Li, Abdelrahman B. M. Eldaly, Lingyun Wang, Wen Jung Li, Leanne Lai Hang Chan, Walid A. Daoud

“…Herein, a smart wearable system is developed encompassing five arch‐structured self‐powered triboelectric sensors, a five‐channel data acquisition unit to collect finger bending signals, and an artificial intelligence (AI) methodology, specifically a long short‐term memory (LSTM) network, to recognize signal patterns. A slider‐crank mechanism that precisely controls the bending angle is designed to quantitively assess the sensor's performance. …”
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Use of Socio-economic, Climatic, and Land use Land Cover Patterns in Solid Waste Forecasting with Integrated Gradient LSTNet Based Model in Lomé, Togo by Kanlanféi Sambiani, Yendoubé Lare, Adamou Zanguina, Satyanarayana Narra

“…This study aimed to develop a new approach of Integrated Gradient Long- and Short-term Time series Network (LSTNet+IG)-based models, assess the baseline neural network models, and provide features influences explanation on MSW generation by using socio-economic, climatic, and Land Use Land Cover (LULC) patterns. …”
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Evaluating Google Maps’ Eco-Routes: A Metaheuristic-Driven Microsimulation Approach by Aleksandar Jovanovic, Slavica Gavric, Aleksandar Stevanovic

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An Emerging Trend of At-Home Uroflowmetry—Designing a New Vibration-Based Uroflowmeter with Artificial Intelligence Pattern Recognition of Uroflow Curves and Comparing with Other T... by Vincent F. S. Tsai, Yao-Chou Tsai, Stephen S. D. Yang, Ming-Wei Li, Yuan-Hung Pong, Yu-Ting Tsai

“…These vibration signals were then analyzed using a convolutional neural network (CNN) to classify six distinct uroflow curve patterns, aiding in diagnostic evaluation. …”
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Sensitivity analysis of activity scheduling parameters with a parameter optimization framework by Matheus Moro Zamprogno, Domokos Esztergár-Kiss

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