Research and Application of a Multitarget Detection Algorithm Based on Improved YOLOv8 for Indoor Objects by Yanzhen Wang, Wei Wang, Xiaolong Zhou, Xubin Dong, Jianyong Li, Qi Zhao, Xinyu Yang, Yao Wang

“…The goal is to achieve efficient multitarget detection of everyday objects and to improve the accuracy and recall of the detection algorithm. To this end, an improved YOLOv8 algorithm (YOLOv8-CBW3) is proposed. …”
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Fault detection algorithm for underground conveyor belt deviation based on improved RT-DETR by AN Longhui, WANG Manli, ZHANG Changsen

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YOLOFIV: Object Detection Algorithm for Around-the-Clock Aerial Remote Sensing Images by Fusing Infrared and Visible Features by Huiying Wang, Chunping Wang, Qiang Fu, Binqiang Si, Dongdong Zhang, Renke Kou, Ying Yu, Changfeng Feng

“…With the rapid advancements in deep learning technology, various deep learning-based object detection algorithms have found extensive applications in UAV-related tasks. …”
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A novel attention based vision transformer optimized with hybrid optimization algorithm for turmeric leaf disease detection by R. Selvaraj, M. S. Geetha Devasena

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Soft actor-critic algorithm and improved GNN model in secure access control of disaggregated optical networks by Zhenqian Zhao, Yuhe Wang

“…Within this framework, the Soft Actor-Critic (SAC) algorithm is employed to construct a policy optimization mechanism. …”
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Improving the Efficiency of Screen Type Potato Sorting Machines by a Modification of the Sieve Drive Movement Algorithm by A. G. Ivanov, M. N. Erokhin, S. P. Kazantsev, P. V. Dorodov, I. I. Khuzyakhmetov, I. T. Khakimov

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RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model by Lingling Cui, Jiacheng Liao

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Fault Diagnosis of Rolling Element Bearing Based on BiTCN-Attention and OCSSA Mechanism by Yuchen Yang, Chunsong Han, Guangtao Ran, Tengyu Ma, Juntao Pan

Subjects: “…Osprey–Cauchy–Sparrow search algorithm (OCSSA)…”
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On the machine learning algorithm combined evolutionary optimization to understand different tool designs’ wear mechanisms and other machinability metrics during dry turning of D2 steel by Muhammad Sana, Muhammad Umar Farooq, Sana Hassan, Anamta Khan

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Overcoming Hardware Imperfections in Optical Neural Networks Through a Machine Learning-Driven Self-Correction Mechanism by Minjoo Kim, Beomju Kim, Yelim Kim, Lia Saptini Handriani, Suhee Jang, Dae Yeop Jeong, Sung Ik Yang, Won Il Park

“…Rather than pursuing an elusive, imperfection-free ONN or attempting to calibrate these defects individually, we addressed these challenges by introducing a self-correction mechanism that utilizes a machine learning algorithm. …”
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Artificial intelligence-based optimization and modeling of cadmium reduction via ultraviolet-assisted malathion/sulfite reaction mechanisms by Hossein Azarpira, Parsa Khakzad, Tayebeh Rasolevandi, Amir Sheikhmohammadi

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CALCULATION OF THE HYDRAULIC BOOM LIFTING MECHANISM WHILE LOWERING PROCESS by G. Yu. Zubrilov, V. G. Melnikov, V. A. Zeer, D. S. Golubtsov

Subjects: “…load-lifting mechanism…”
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A Water Quality Prediction Model Based on Long Short-Term Memory Networks and Optimization Algorithms by Aihua Yu, Qingjie Xiao

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Optimal Design for a Novel Compliant XY Platform Integrated with a Hybrid Double Symmetric Amplifier Comprising One-Lever and Scott–Russell Mechanisms Arranged in a Perpendicular S... by Minh Phung Dang, Anh Kiet Luong, Hieu Giang Le, Chi Thien Tran

Subjects: “…compliant mechanism…”
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Ethnic Architectural Heritage Identification Using Low-Altitude UAV Remote Sensing and Improved Deep Learning Algorithms by Ting Luo, Xiaoqiong Sun, Weiquan Zhao, Wei Li, Linjiang Yin, Dongdong Xie

“…Finally, an attention mechanism SE module is introduced to improve the DeepLabV3+ network model structure and achieve superior ethnic building recognition results. …”
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A computational enhancement of Base64 algorithm using Residue Number System algorithms by Kolawole Bariu LOGUNLEKO, Abolore Muhamin LOGUNLEKO, Ayisat Wuraola ASAJU-GBOLAGADE, Akinbowale Nathaniel BABATUNDE, Kazeem Alagbe GBOLAGADE

“…Therefore, the research bridges the security gap in the Base64 cryptographic algorithm by factoring the key mechanism of the RNS based algorithm into the newly developed algorithm. …”
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A Hierarchical Path Planning Framework of Plant Protection UAV Based on the Improved D3QN Algorithm and Remote Sensing Image by Haitao Fu, Zheng Li, Jian Lu, Weijian Zhang, Yuxuan Feng, Li Zhu, He Liu, Jian Li

“…To address these challenges, this study proposes a deep reinforcement learning algorithm, MoE-D3QN, which integrates a Mixture-of-Experts mechanism with a Bi-directional Long Short-Term Memory model. …”
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Multi-duplication fault tolerant scheduling algorithm based on genetic algorithm in heterogeneous systems by Zhong-zheng HE, Chao-guang MEN, Yong-jun CHEN, Xiang LI

“…The fault-tolerant task scheduling mechanisms based on multi-duplication didn’t consider the scheduling makespan,the dependencies between tasks,the failures of the links and the longer scheduling makespan caused by the strict scheduling method in the heterogeneous distributed system.So the reliability calculation method that can involve the processor failures and the link failures was proposed firstly.Then the 0-1 integer linear program was proposed for the general scheduling problem.At last,the RAMD_TGS(reliability-aware multi-duplication task general scheduling) algorithm was proposed to solve the 0-1 integer linear program.The algorithm searched the mapped processor and the start execution time on the mapped processor for the task duplication by the evolution of the genetic algorithm.The experiments show that the RAMD_TGS algorithm can meet the reliability requirements and outperforms the existing scheduling algorithms based on the strict scheduling method in terms of scheduling makespan.The resource usages of the algorithm are also acceptable.…”
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Multi-duplication fault tolerant scheduling algorithm based on genetic algorithm in heterogeneous systems by Zhong-zheng HE, Chao-guang MEN, Yong-jun CHEN, Xiang LI

“…The fault-tolerant task scheduling mechanisms based on multi-duplication didn’t consider the scheduling makespan,the dependencies between tasks,the failures of the links and the longer scheduling makespan caused by the strict scheduling method in the heterogeneous distributed system.So the reliability calculation method that can involve the processor failures and the link failures was proposed firstly.Then the 0-1 integer linear program was proposed for the general scheduling problem.At last,the RAMD_TGS(reliability-aware multi-duplication task general scheduling) algorithm was proposed to solve the 0-1 integer linear program.The algorithm searched the mapped processor and the start execution time on the mapped processor for the task duplication by the evolution of the genetic algorithm.The experiments show that the RAMD_TGS algorithm can meet the reliability requirements and outperforms the existing scheduling algorithms based on the strict scheduling method in terms of scheduling makespan.The resource usages of the algorithm are also acceptable.…”
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Enhanced futures price-spread forecasting based on an attention-driven optimized LSTM network: integrating an improved grey wolf optimizer algorithm for enhanced accuracy by Yongli Tang, Zhenlun Gao, Zhongqi Cai, Jinxia Yu, Panke Qin

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