Development of a Deep Learning‐Assisted Mobile Application for the Identification of Nematodes Through Microscopic Images by Naseeb Singh, Ashish Kumar Singh, L. K. Dhruw, Simardeep Kaur, S. Hazarika, K. K. Mishra, V. K. Mishra, Laxmi Kant

“…Current methods of nematode identification are labour‐intensive, time‐consuming, and prone to false positives, thus necessitating the development of an intelligent system for their identification from microscopic images without technical assistance. …”
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Automatic Detection of Cracks in Cracked Tooth Based on Binary Classification Convolutional Neural Networks by Juncheng Guo, Yuyan Wu, Lizhi Chen, Guanghua Ge, Yadong Tang, Wenlong Wang

“…The proposed method in this article provides doctors with a more intelligent diagnostic solution, and it is not only suitable for optical photographs but also for automated diagnosis of other medical imaging images.…”
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Recent advances on federated learning systems and the design for computing power Internet of things by LU Jianfeng, QI Pan, PAN Linyu, LI Bing, CAO Shuqin, JIN Yan'an

“…Computing power Internet of things (CPIoT) integrates Internet of things (IoT) devices with substantial computational resources to support data-intensive tasks, facilitating intelligent decision-making. Within the context of privacy protection requirements for CPIoT, federated learning (FL) that is a distributed learning technique upholds data privacy, and offers a novel approach to addressing data silos for executing complex training tasks, and training large models. …”
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Food Grade Nanofiber of Polylactic Acid by Electrospinning: Physicochemical Characterization of Solutions and Parameters of the Technique by Dalila Fernanda Canizales-Rodríguez, Francisco Rodríguez-Félix, José Agustín Tapia-Hernández, Carmen Lizette Del-Toro-Sánchez, Saúl Ruíz-Cruz, Santiago P. Aubourg, Daniela Denisse Castro-Enríquez, Carlos Gregorio Barreras-Urbina, Silvia Elena Burruel-Ibarra, José Luis Pompa-Ramos, Lorena Armenta-Villegas

“…Polylactic acid (PLA) is a polymer which is biocompatible and biodegradable, of low cost, and generally recognized as safe (GRAS) by FDA; on the other hand, nanofibers obtained by electrospinning have the potential food industry application, for protection and release of bioactive compounds, producing active and intelligent packaging and increasing and monitoring food quality. …”
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Envisioning the Potential of 6G Use Cases—A Dual Perspective of Innovation and Business by Muhua Wei, Jun Wu, Huili Liu, Lin Lin, Zheng Zhang, Mayuan Sun

“…Currently, 6G technology is at a pivotal stage for research and standardization, with the next three to five years being crucial for achieving technological breakthroughs and fostering industrial development. 6G is anticipated to support a broader spectrum of application scenarios, lead us into a more intelligent and interconnected future. The applications and use cases of 6G serve as a vital link between technological innovation and user demands, laying the groundwork for key network performance indicators, functional design, and service capability planning, and paving the way for its future commercialization. …”
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Cochlear Implantation in Single-Sided Deafness and Asymmetric Hearing Loss: 12 Months Follow-up Results of a European Multicenter Evaluation by Thomas Wesarg, Antje Aschendorff, Regina Baumgaertel, Julia Böttcher, Liesbeth De Coninck, Ingeborg Dhooge, Ann Dierckx, Thomas Klenzner, Philipp Schörg, Georg Sprinzl, Freya Swinnen, Nicolas Verhaert, Annelies Vermeiren, Simone Volpert, Andrzej Zarowski, Arne Ernst

“…The objective of this multicenter study is to evaluate the effect of a cochlear implant (CI) in adults with single-sided deafness (SSD) or asymmetric hearing loss (AHL), particularly regarding sound localization and speech intelligibility with additional interest in electric-acoustic pitch matching. …”
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ASD-YOLO: a lightweight network for coffee fruit ripening detection in complex scenarios by Baofeng Ye, Baofeng Ye, Renzheng Xue, Renzheng Xue, Haiqiang Xu, Haiqiang Xu

“…The enhanced model can identify coffee fruits at all stages more efficiently and accurately, and provide technical reference for intelligent coffee fruit harvesting.…”
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Elucidating the Effects of Sleep Deprivation: Exploring fMRI Imaging Biomarkers to Analyze Brain Functions Related to Insomnia by Yazdan Choghazardi, Fateme Sabzevarian, Korosh Saber, Meysam Siyah Mansoory, Mehdi Khodamoradi, Hamid Sharini

“…Independent component analysis (ICA) processing was performed using the Generalized Intelligent Framework for Tutoring (GIFT) toolbox on old and young people’s data. …”
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Self-adaptive fuzzing optimization method based on distribution divergence by XU Hang, JI Jiangan, MA Zheyu, ZHANG Chao

“…Finally, an online deep reinforcement learning model was established based on the dual deep Q-network model, and an intelligent agent was trained to optimize the fuzzing mutation strategy. …”
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MVR Delay: A Queueing Based Routing Model for C-V2X Mode 4 in VANET’s by Mahabaleshwar Kabbur, M. Vinayaka Murthy

“…During the last few years, the demand for vehicular ad-hoc networks (VANET) has gained great attraction in the intelligent transport system. The VANET architecture includes several critical features, such as distributed networking and the rapidly changing network topology. …”
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Supramolecular Assembly and Reversible Transition and of Chitosan Fluorescent Micelles by Noncovalent Modulation by An Liu, Hong Song, Puyou Jia, Ying Lin, Qingping Song, Jiangang Gao

“…Chitosan-based intelligent artificial systems have been of increasing interest for their biocompatibility, multifunctionality, biological activity, and low cost. …”
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Diego Velázquez's Kings, Buffoons and Philosophers in the Context of His Religious Paintings: the View from Russia (Philosophical-Anthropological Analysis) by M. Silantieva

“…Expressed by the language of art, such image lines contain intelligible sense component reconstruction of which can be subjected to strict scientific and philosophical analysis and corrected with its help. …”
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A Method for Tomato Ripeness Recognition and Detection Based on an Improved YOLOv8 Model by Zhanshuo Yang, Yaxian Li, Qiyu Han, Haoming Wang, Chunjiang Li, Zhandong Wu

“…With the rapid development of agriculture, tomatoes, as an important economic crop, require accurate ripeness recognition technology to enable selective harvesting. Therefore, intelligent tomato ripeness recognition plays a crucial role in agricultural production. …”
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Supergraph Topology Feature Index for Personalized Interesting Subgraph Query in Large Labeled Graphs by Xiaohuan Shan, Haihai Li, Chunjie Jia, Dong Li, Baoyan Song

“…To solve these problems, this paper proposes an intelligent solution. Firstly, an Isotype Structure Graph Compression (ISGC) strategy is proposed to compress similar nodes in a graph to reduce the size of the graph and avoid unnecessary matching. …”
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ESD-YOLOv8: An Efficient Solar Cell Fault Detection Model Based on YOLOv8 by Lingyun Zhang, Xu Wu, Zihan Liu, Panlin Yu, Mingfen Yang

“…This study not only alleviates the burden of human detection but also provides an efficient and high-precision solution for intelligent PV system fault diagnosis.…”
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An Adaptive Spatio-Temporal Traffic Flow Prediction Using Self-Attention and Multi-Graph Networks by Basma Alsehaimi, Ohoud Alzamzami, Nahed Alowidi, Manar Ali

“…Traffic flow prediction is a pivotal element in Intelligent Transportation Systems (ITSs) that provides significant opportunities for real-world applications. …”
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Incentive Mechanism Design for Distributed Autonomous Organizations Based on the Mutual Insurance Scenario by Yiguang Pan, Xiaomei Deng

“…Due to the cognitive defects of the blockchain protocol in terms of intelligent contracts and decentralized autonomous organizations (DAOs), it is often unclear as to how to make decisions about the evolution of blockchain applications. …”
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Investigation and Application of Water-Saving Monitoring Technology in Public Institutions by WANG Kang, ZHENG Yongjie, ZHANG Zhen, TANG Yanping, SONG Wenhao, GUO Xiaoming

“…Considering the characteristics of water use and the current situation of water facilities in public institutions,this study comprehensively employs the Internet of Things (IoT),cloud deployment,databases,three-dimensional (3D) visualization,and other advanced techniques to create a water-saving reconstruction scheme with integrated software and hardware for public institutions.Therefore,a smart water management platform for public institutions is built to implement advanced water-saving concepts and improve the water management level.The main research results are as follows:① By intelligent remote monitoring equipment,the multiclass water measurement network is designed to realize the fine collection of zonal water use data;② this study designs a reconstruction scheme of water facilities and explores the utilization mode of unconventional water sources to improve the utilization efficiency of water resources;③ multiple algorithms and statistical methods are used to analyze the time series of water use data,and thus this study realizes the analysis of pipeline network leakage and damage,identification of water use anomalies,and water-saving statistical analysis,and the investigation of water use laws;④ the platform with functions of monitoring and early warning is established to achieve real-time remote monitoring of water use,statistical analysis of historical water use,and identification and warning of pipe network leakage,so as to detect water anomalies in time and save water.The research results are first applied to the construction of the water-saving institution of the Pearl River Water Resources Commission to build a benchmark for the construction of water-saving institutions in the southern region.On the basis of application experience,the comprehensively integrated monitoring technology for water-saving in public institutions is developed,which provides a new idea for public institutions to save water.…”
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A Multimodal Information Fusion Model for Robot Action Recognition with Time Series by Xiaozhi Zhang, Hongyan Li, Mengjie Qian

“…Unlike traditional robots that need to use isolation rails to maintain a certain safety distance from people, the new generation of human-machine collaboration systems can work side by side with humans without spatial obstruction, giving full play to the expertise of people and machines through an intelligent assignment of operational tasks and improving work patterns to achieve increased efficiency. …”
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Multiangle Correlation Feature Extraction and Disease Prediction Model Construction for Patients With Post-Stroke Dysarthria by Ting Zhu, Shufei Duan, Huizhi Liang, Fujiang Li, Wei Zhang

“…Emotional speech was labeled for intelligibility scores, emotion types, and discrete dimensional space. …”
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