AI Driven Fraud Detection Models in Financial Networks: A Comprehensive Systematic Review by Nusrat Jahan Sarna, Farzana Ahmed Rithen, Umme Salma Jui, Sayma Belal, Al Amin, Tasnim Kabir Oishee, A. K. M. Muzahidul Islam

“…In response, this review paper explores the role of artificial intelligence (AI) in financial fraud detection, highlighting machine learning (ML), deep learning (DL), and hybrid models as transformative solutions. …”
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A dataset for vineyard disease detection via multispectral imagingZenodo by Alessio Saccuti, Filippo Graziosi, Dario Lodi Rizzini

“…The present dataset is a collection of multispectral images designed for development of detection algorithms for grapevine diseases like Flavescence dorée (FD) and Esca (ED). …”
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A Massive Image Recognition Algorithm Based on Attribute Modelling and Knowledge Acquisition by Guohua Li, An Liu, Huajie Shen

“…To address the problem of incomplete model inputs due to the presence of missing values, we propose to treat and describe the missing values as system-level variables and realize the alternate update of network parameters and dynamic filling of missing values through iterative learning among subnets. The method can effectively utilize the information of all the present attribute values in incomplete data, and the obtained subnetwork population model is a fit to the attribute association relationships implied by all the present attribute values in incomplete data. …”
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Electromyography Signal Acquisition, Filtering, and Data Analysis for Exoskeleton Development by Jung-Hoon Sul, Lasitha Piyathilaka, Diluka Moratuwage, Sanura Dunu Arachchige, Amal Jayawardena, Gayan Kahandawa, D. M. G. Preethichandra

“…Feature extraction techniques are explored to support pattern recognition and motion classification. Machine learning approaches are examined for their roles in pattern recognition-based and hybrid control architectures. …”
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IoT-Cloud, VPN, and Digital Twin-Based Remote Monitoring and Control of a Multifunctional Robotic Cell in the Context of AI, Industry, and Education 4.0 and 5.0 by Adrian Filipescu, Georgian Simion, Dan Ionescu, Adriana Filipescu

“…The monitoring and control of an assembly/disassembly/replacement (A/D/R) multifunctional robotic cell (MRC) with the ABB 120 Industrial Robotic Manipulator (IRM), based on IoT (Internet of Things)-cloud, VPN (Virtual Private Network), and digital twin (DT) technology, are presented in this paper. The approach integrates modern principles of smart manufacturing as outlined in Industry/Education 4.0 (automation, data exchange, smart systems, machine learning, and predictive maintenance) and Industry/Education 5.0 (human–robot collaboration, customization, robustness, and sustainability). …”
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Crowd anomaly estimation and detection: A review by A. Hussein, M.W. Raed, A. Al-Shaikhi, M. Mohandes, B. Liu

“…Furthermore, this study presents the most recent findings on mobile crowdsensing based on edge computing, urban dynamics, optical flow, and machine learning techniques. …”
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Precipitation Estimation With NWP Model and Generative Diffusion Model by Haolin Liu, Jimmy C. H. Fung, Alexis K. H. Lau, Zhenning Li

“…In this study, we leverage this cutting‐edge generative model to refine Numerical Weather Prediction (NWP) precipitation outputs. …”
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Discriminative Features Extraction for Plant Disease Classification Using Deep CNN by Hira Farman, usman Amjad

“…Other measures of evaluation of the presented model are precision of 0.9139; recall of 0.9034; the F1 score was 0.9019. …”
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MaizeNet: High-Performance Image-Based Maize Cob Detection using Lightweight CNNs by Mishra Nidhi, Lalnunthari Banti

“…In order to deal with such challenges, we present this work on MaizeNet, a high speed detection system based on lightweight CNNs adapted to work well in resource constrained environments and on edge devices. …”
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Efficient Implementation of DVI Protocol on FPGA by Sara Ershadi-Nasab, Danial Bayati, Saeed Yazdani

“…This paper presents a general-purpose hardware implementation of the digital visual interface (DVI) protocol on the Xilinx Virtex-6 ML605 FPGA platform for real-time display of digital processing results. …”
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Efficient Intrusion Detection System Data Preprocessing Using Deep Sparse Autoencoder with Differential Evolution by Saranya N., Anandakumar Haldorai

“…A great amount of data is generated by the Internet and communication areas’ rapid technological improvement, which expands the size of the network. These cutting-edge technologies could result in unique network attacks that present security risks. …”
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Numerical and Experimental Study of Fluid Flow and Heat Transfer in Porous Media: A Review Article by Ramin Ranjbarzadeh, Giuseppe Sappa

“…This review provides a comprehensive analysis of numerical and experimental approaches, presenting a multiscale perspective that bridges molecular, pore, and macroscopic levels. …”
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Research on a Rapid Three-Dimensional Compressor Flow Field Prediction Method Integrating U-Net and Physics-Informed Neural Networks by Chen Wang, Hongbing Ma

“…It maps flow data from the physical domain to a uniform computational domain and employs a U-Net-based neural network capable of capturing the sharp local transitions induced by fluid acceleration near the blade leading edge, as well as learning flow features associated with internal boundaries (e.g., the wall boundary). …”
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Developing real-time IoT-based public safety alert and emergency response systems by Han Zhang, Runze Zhang, Jiamanzhen Sun

“…Abstract This paper presents the design and evaluation of a real-time IoT-based emergency response and public safety alert system tailored for rapid detection, classification, and dissemination of alerts during critical incidents. …”
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Transcriptional Patterns of Nodal Entropy Abnormalities in Major Depressive Disorder Patients with and without Suicidal Ideation by Minxin Guo, Heng Zhang, Yuanyuan Huang, Yunheng Diao, Wei Wang, Zhaobo Li, Shixuan Feng, Jing Zhou, Yuping Ning, Fengchun Wu, Kai Wu

“…Whether the abnormalities of edge interactions affect the emergence of SI and are related to the gene expression remains largely unknown. …”
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MMRAD-Net: A Multi-Scale Model for Precise Building Extraction from High-Resolution Remote Sensing Imagery with DSM Integration by Yu Gao, Huiming Chai, Xiaolei Lv

“…Furthermore, we propose a Hybrid Loss, which combines Binary Cross-Entropy Loss (BCE Loss), Dice Loss, and an edge-sensitive term to further improve the precision of building edges and foreground reconstruction capabilities. …”
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Digital Twin Technology for Bridge Maintenance using 3D Laser Scanning: A Review by Haidar Hosamo Hosamo, Mohsen Hosamo Hosamo

“…Four main categories were presented, namely machine learning, bridge management system (BMS), bridge information modeling (BrIM), and 3D modeling. …”
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Enhanced Underwater Image Restoration and Clarity Optimization Using Advanced Digital Image Processing Techniques by Gopirajan Punniyakotti Varadharajan, Pradeep T., Charan R.

“…Also, the presented method if free from training samples, thus allowing the benefits of computationally efficient and real-time processing that machine learning models wouldn't have. …”
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A Field-Programmable Gate Array-Based Adaptive Sleep Posture Analysis Accelerator for Real-Time Monitoring by Mangali Sravanthi, Sravan Kumar Gunturi, Mangali Chinna Chinnaiah, Siew-Kei Lam, G. Divya Vani, Mudasar Basha, Narambhatla Janardhan, Dodde Hari Krishna, Sanjay Dubey

“…This research presents a sleep posture monitoring system designed to assist the elderly and patient attendees. …”
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Hybrid Vision System for Enhanced Situational Awareness in Unmanned Surface Vehicles: Decision-Level Camera-LiDAR Fusion With Supervised and Unsupervised Approaches by Yousef Abd Alhattab, Hasan F. M. Zaki, Abd Halim Bin Embong, Zulkifli Bin Zainal Abidin, Ahmed Rimaz Faizabadi, Ahmad Imran Ibrahim

“…It addresses the challenges of achieving peak performance on an edge machine learning computer integration to reduce computational overhead. …”
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