A Fine-Grained Aircraft Target Recognition Algorithm for Remote Sensing Images Based on YOLOV8 by Xiao-Nan Jiang, Xiang-Qian Niu, Fan-Lu Wu, Yao Fu, He Bao, Yan-Chao Fan, Yu Zhang, Jun-Yan Pei

“…This article addresses the issues of missed and false detections in existing aircraft target fine-grained recognition algorithms for remote sensing images by proposing an improved algorithm based on YOLOv8, called FD-YOLOv8 (Focus Detail-YOLOv8). …”
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PERFORMANCE ANALYSIS OF TASK SCHEDULING USING HYBRID GENETIC MODIFIED WHALE OPTIMIZATION ALGORITHM IN CLOUD COMPUTING by S. Kavitha, G. Paramasivam

“…Cloud computing plays a vital role, which is used to access computing resources and information online. …”
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Algorithms and tools for data-driven omics integration to achieve multilayer biological insights: a narrative review by Aurelia Morabito, Giulia De Simone, Roberta Pastorelli, Laura Brunelli, Manuela Ferrario

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Predicting protein–protein interactions in microbes associated with cardiovascular diseases using deep denoising autoencoders and evolutionary information by Senyu Zhou, Jian Luo, Mei Tang, Chaojun Li, Yang Li, Wenhua He

“…Traditional experimental methods for detecting PPIs are often time-consuming and costly, leading to an urgent need for reliable computational approaches.MethodsIn this study, we present a novel model, the deep denoising autoencoder for protein–protein interaction (DAEPPI), which leverages the denoising autoencoder and the CatBoost algorithm to predict PPIs from the evolutionary information of protein sequences.ResultsOur extensive experiments demonstrate the effectiveness of the DAEPPI model, achieving average prediction accuracies of 97.85% and 98.49% on yeast and human datasets, respectively. …”
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Retrieval of cloud fraction using machine learning algorithms based on FY-4A AGRI observations by J. Xia, L. Guan

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Intelligent recognition algorithm and application of coal mine overhead passenger device based on multiscale feature fusion by Beijing XIE, Heng LI, Hang DONG, Zheng LUAN, Ben ZHANG, Xiaoxu LI

“…The recognition speed is 71 frames per second Compare to a variety of mainstream single-stage two-stage detection models, the proposed model demonstrated effective identification of cmopd targets with and without passengers, significantly improved the accuracy of cmopd recognition, reduced false positives and false negatives, and exhibited faster recognition speed and better extraction of contextual information. The proposed algorithm can meet the requirements of practical inspection scenarios and provide a feasible method for accurate recognition of cmopd with different passenger-carrying statuses. …”
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A Novel Data-Driven Fault Diagnosis Algorithm Using Multivariate Dynamic Time Warping Measure by Jiangyuan Mei, Jian Hou, Hamid Reza Karimi, Jiarao Huang

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Enhancing Cloud Task Scheduling With a Robust Security Approach and Optimized Hybrid POA by S. V. Aswin Kumer, N. Prabakaran, E. Mohan, Balaji Natarajan, G. Sambasivam, Vaibhav Bhushan Tyagi

“…The newly developed method also utilizes a security approach called Polymorphic Advanced Encryption Standard (P-AES) to encode cloud information during scheduling. The study evaluates the proposed algorithm’s performance in terms of the make span, resource utilization, cost, response time, throughput, latency, execution time, speed, and bandwidth utilization. …”
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LBT-YOLO: A Lightweight Road Targeting Algorithm Based on Task Aligned Dynamic Detection Heads by Pei Tang, Zhenyu Ding, Minnan Jiang, Weikai Xu, Mao Lv

“…Autonomous driving technology plays a key role in addressing traffic safety issues and relieving traffic congestion by virtue of its capabilities of enabling accurate environmental perception and real-time response. …”
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Quantum behaved Intelligent Variant of Gravitational Search Algorithm with Deep Neural Networks for Human Activity Recognition by Sonika Jindal, Monika Sachdeva, Alok K. S. Kushwaha

“…The proposed intelligent variant is termed as INQGSA which optimizes the features by using the advantageous attributes of quantum computing (QC) and intelligent gravitational search algorithm (INGSA). The INGSA adds the intelligent factor in the classical gravitational search algorithm (GSA) to avoid the trapping of agents in later iteration. …”
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Optimal sizing of hybrid renewable energy systems relying on the black winged kite algorithm for performance evaluation by Sarada Mohapatra, Deepa Kaliyaperumal, T. Porselvi, S. V. Tresa Sangeetha, Roobaea Alroobaea, Ahmed Emara

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Éthique de l’intelligence artificielle et ubiquité sociale des technologies de l’information et de la communication : comment penser les enjeux éthiques de l’IA dans nos sociétés d... by Frédérick BRUNEAULT, Andréane SABOURIN LAFLAMME

“…Artificial intelligence (AI) plays an important role in current discussions on information and communication technologies (ICT) and new modes of algorithmic governance. …”
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Measuring the Inferential Values of Relations in Knowledge Graphs by Xu Zhang, Xiaojun Kang, Hong Yao, Lijun Dong

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An Assembled Feature Attentive Algorithm for Automatic Detection of Waste Water Treatment Plants Based on Multiple Neural Networks by Cong Li, Zhengchao Chen, Zhuonan Huang, Yue Shuai, Shaohua Wang, Xiangkun Qi, Jiayi Zheng

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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

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Design of Anomaly Based Intrusion Detection System Using Support Vector Machine and Grasshopper Optimization Algorithm in IoT by Sepehr Sharifi, Soulmaz Gheisari

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Micro-Energy Grid Energy Utilization Optimization with Electricity and Heat Storage Devices Based on NSGA-III Algorithm by Junchao Yang, Li Li

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Sustainable Environmental Monitoring: Multistage Fusion Algorithm for Remotely Sensed Underwater Super-Resolution Image Enhancement and Classification by Wad Ghaban, Jawad Ahmad, Ali Akbar Siddique, Mohammad S. Alshehri, Anila Saghir, Faisal Saeed, Baraq Ghaleb, Mujeeb Ur Rehman

“…Underwater rovers and vehicles play a vital role in discovering these resources, yet limited visibility in deep waters and technological constraints impede underwater exploration. …”
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Few-shot hotel industry site selection prediction method based on meta learning algorithms and transportation accessibility by Na Li, Huaishi Wu

“…The results show that: (1) The meta-model achieves a classification accuracy of 90.45% for star-rated hotels, with a location fitting degree of 91.90%, an improvement of approximately 11% compared to the baseline model; (2) Transportation conditions play a crucial role in the distribution of star-rated hotels, contributing 45% of the classification information; (3) It is recommended that future investments in star-rated hotels focus on areas around Xiaobailou Street, Dawangzhuang Street, and Wudadao Street. …”
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Polar lights optimizer: A novel algorithm for accurate parameter estimation in proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Ali Fayez Alkoradees, Mohammad Khishe, Reena Jangid

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