End-of-Line Quality Control Based on Mel-Frequency Spectrogram Analysis and Deep Learning by Jernej Mlinarič, Boštjan Pregelj, Gregor Dolanc

“…The proposed approach addresses these issues by learning discriminative patterns directly from raw sensor data and automating the classification process. …”
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CareTaker.ai—A Smart Health-Monitoring and Caretaker-Assistant System for Elder Healthcare by Ankur Gupta, Sahil Sawhney, Suhaib Ahmed

“…It consists of smart bed sheets, pillow covers with embedded sensors, and a processing unit with GPUs, conversational AI, and generative AI capabilities, with associated functional modules. …”
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Transitioning from a Multi-Agency to an Integrated Food Control System: A Case Study from the Sultanate of Oman by Moza Abdullah Al Busaidi, Mohammad Shafiur Rahman, Hussein Samh Al Masroori

“…Food safety regulations and their implementations are becoming increasingly complex due to various reasons such as diverse food sources, supply chain, processing technologies, distribution systems and environmental concerns. …”
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Reconstructing unreadable QR codes: a deep learning based super resolution strategy by Yasin Sancar

“…Quick-response (QR) codes have become an integral component of the digital transformation process, facilitating fast and secure information sharing across various sectors. …”
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The Impact of Value Chains on Food Security by Elena G. Kazantseva, Igor I. Lyamkin

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Exploring Edible Insects: From Sustainable Nutrition to Pasta and Noodle Applications—A Critical Review by Carlos Gabriel Arp, Gabriella Pasini

“…However, adding new ingredients to enrich common foods often carries technological and sensory challenges, such as changes in processing parameters, texture, flavor, and appearance. …”
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Cyber-physical coupled modelling for distributed coordination control of a new distribution system by Wei Liu, Yufei Wang, Wei Gu, Xi Chen, Dehu Zou, Xuechang Yu, Zhihao Qian

“…It also utilizes MAS-based DCC for processing information of primary and secondary control agents. …”
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Integrated Information Theory and the Phenomenal Binding Problem: Challenges and Solutions in a Dynamic Framework by Chris Percy, Andrés Gómez-Emilsson

“…The solution—that particular entities aggregable from multiple units (‘complexes’) define existence—might work in a static picture, but introduces issues in a dynamic system. We ask what happens to our phenomenal self as the main complex moves around a biological neural network. …”
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Self-Healing Databases for Emergency Response Logistics in Remote and Infrastructure-Poor Settings by James McGarvey, Martha R. Grabowski, Buddy Custard, Steven Gabelein

“…Despite persistent calls for improved data quality, processing, and analysis capabilities to support Arctic emergency response logistics, these issues have not been addressed and advanced analytical methods available in other safety-critical and oil and gas settings, such as machine learning, artificial intelligence (AI), or emergent, self-aware, and self-healing databases, have not been widely adopted. …”
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sEMG-based gesture recognition using multi-stream adaptive CNNs with integrated residual modules by Yutong Xia, Dawei Qiu, Cheng Zhang, Jing Liu

“…IntroductionConvolutional neural networks are widely used in gesture recognition research, which employs surface electromyography. However, when processing surface electromyography data, current deep learning models still face challenges, such as insufficient effective feature extraction, poor performance in multi-gesture recognition, and low accuracy in recognizing sparse surface electromyography.MethodsTo address these issues, this study proposed a multi-stream adaptive convolutional neural networks with residual modules (MSACNN-RM) for surface electromyography gesture recognition, which integrates multiple streams of convolutional neural networks, adaptive convolutional neural networks, and residual modules to enhance the model’s feature extraction and learning capabilities. …”
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Transforming Auditing in the AI Era: A Comprehensive Review by Nguyen Thi Thanh Binh

“…However, their low representation (0.4% each) may indicate that such issues remain relatively peripheral in current academic discourse. …”
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A Novel Human Action Recognition Model by Grad-CAM Visualization with Multi-level Feature Extraction Using Global Average Pooling with Sequence Modeling by Bidirectional Gated Recu... by Jayamohan Manoharan, Yuvaraj Sivagnanam

“…Despite the progress in deep learning, issues such as occlusion, distraction from the background, and motion pattern variability still exist, thus restricting the generalization ability of current models. …”
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A multi strategy bidirectional RRT* algorithm for efficient mobile robot path planning by Yourui Huang, Wenxin Jiang, Shanyong Xu

“…Abstract To address the issues of slow convergence speed and poor path quality of the traditional Rapidly-exploring Random Tree Star (RRT*) algorithm in complex environments, this paper proposes a Multi Strategy Bidirectional RRT* (MS-BI-RRT*) algorithm for efficient mobile robot path planning. …”
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Nonlinear prediction model of vehicle network traffic management based on the internet of things by Zhijie Peng, Lili Yin

“…System architecture consists of three spatially separated layers: IoT sensor network for data collection, real-time data processing pipeline and the user interface for visualization. …”
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Treating Audio Manipulation Effects like Photoshop: Exploring the Negative Impacts of a Lack of Transparency in Contemporary Vocal Music on Young Learners by Taran Harris

“…Amidst the great and rapid advance in digital audio processing over recent decades, a range of new ‘manipulation’ software has problematised the popular music scene, both in terms of authenticity and achievability of performance. …”
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POTMEC: A Novel Power Optimization Technique for Mobile Edge Computing Networks by Tamilarasan Ananth Kumar, Rajendirane Rajmohan, Sunday Adeola Ajagbe, Oluwatobi Akinlade, Matthew Olusegun Adigun

“…Computational offloading is a productive technique to overcome mobile battery life issues by processing a few parts of the mobile application on the cloud. …”
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U-SCAD: An Unsupervised Method of System Call-Driven Anomaly Detection for Containerized Edge Clouds by Jiawei Ye, Ming Yan, Shenglin Wu, Jingxuan Tan, Jie Wu

“…While existing system call-based anomaly-detection methods partially address these issues, they suffer from high false positive rates and excessive computational overhead. …”
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Designing and implementing a Web-based real time routing service for crisis management (a case study for district 11 of Tehran) by javad sadidi, seyed hassan hosseini sajedi

“…Timing framework associated with catastrophes is one of the most important issues in crisis management. In such cases, being immediate has a considerable importance and web based real-time routing service as an important tool has a significant role in relief operations improvement. …”
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6D Pose Estimation Algorithm Based on Improved YOLOv5 With Asymptotic Feature Pyramid Network and Attention Mechanism by Yan Zhang, Hanyu Ye

“…However, real-world 6D pose estimation presents significant challenges, including cluttered backgrounds, lighting variations, and the absence of surface textures. These issues make it difficult for existing methods to achieve both high accuracy and real-time performance. …”
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Research on Data-driven PET-CT Gating Imaging Method by XU Shidong1, 2, 3, 4, SUN Xiaoli1, 3, 4, , LIU Shuangquan1, 3, 4, ZHENG Yushuang1, 3, 4, LI Mohan1, 3, 4, WEI Cunfeng1, 2, 3, 4

“…Each step in these first three processes can significantly impact the final imaging results. …”