Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework by Manal Abdullah Alohali, Hatim Dafaalla, Mohammed Baihan, Sultan Alahmari, Achraf Ben Miled, Othman Alrusaini, Ali Alqazzaz, Hanadi Alkhudhayr

“…This study proposes a Self-Attention Mechanism-Driven Federated Learning for Secure Cyberattack Detection with Crocodile Optimization Algorithm (SAMFL-SCDCOA) methodology. …”
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An Intrusion Detection System Based on Deep Learning and Metaheuristic Algorithm for IOT by Bahman Sanjabi, Mahmood Ahmadi

“…In this paper, a method is presented that uses meta-heuristic algorithms such as genetic algorithm, particle swarm optimization, artificial bee colony and gray wolf to find the optimal hyperparameters for the deep learning network and the intrusion detection system is created based on these hyperparameters. …”
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A Tuning Method for Speed Tracking Controller Parameters of Autonomous Vehicles by Jianqiao Chen, Guofu Tian

“…This paper addresses the challenge of speed tracking by proposing a genetic algorithm-based optimization method for PID controller parameters. Traditional PID controllers often struggle with maintaining accuracy and response time in highly variable conditions, but by optimizing these parameters through the genetic algorithm, substantial improvements in speed control precision and adaptability can be achieved, enhancing the vehicle’s ability to navigate real-world driving scenarios with greater stability. …”
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Numerical Optimization of Non-destructive Ultrasonic Testing in Identifying Defects in Composite Structure of Pine Tree Trunk by Mohammadreza Sheakholeslami, Mahdi Bayat Kazazi, Abbas Amoochi, Siamak Mazdak, Mohammad Reza Ghaderi, Mehdi Zeighami Salimabad

“…So, the location of the defects is detected according to the amplitude of signals received in three points according to the method described in the paper. …”
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An Extrinsic Calibration Method for LiDAR and Camera Based on Feature Matching by CHEN Meilin, JIANG Guotao, PI Zhichao, HE Qian, TAN Bin, LUO Shuo, YANG Hailang

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Optimization of Dye Removal of Cibacron Red Textile Dye From Wastewaters Using Kombucha Scoby With the Taguchi Method by Aytul Bayraktar

“…The dye removal process was optimized using the Taguchi method, focusing on the effects of variables such as pH (2, 6, 10), KS size (0.5, 1.0, 1.5 g), and mixing time (30 min, 2 h, 3.5 h). …”
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Optimization Method for Combination of Residual Current Protection and Coincidence Brake Logic in a Low-Voltage Distribution System by XU Han, ZHU Sanli, ZHANG Tengfei, CHEN Shu, LIU Mingxiang

“…However, it is challenging to distinguish fault characteristics in abnormal operating conditions, such as electric shock to biological organisms and three-phase imbalance, which leads to the improper operation of existing residual current protection devices, making it difficult to balance both the safety and continuity of power supply in low-voltage distribution systems. Therefore, an optimization method is proposed for combination of the residual current protection and the coincidence reclosing logic to address the ground fault caused by the leakage of the low-voltage distribution system. …”
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Research on Initial Position Detection of Rotor Magnetic Field for Permanent Magnet Synchronous Motor by WANG Zhengyu, CHEN Jianming, TAN Miao

“…Because this method is not easy to implement, two automatic optimization methods are given as well as the experimental results, which indicates that current change rate method is feasible.…”
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Optimization of Flight Scheduling in Urban Air Mobility Considering Spatiotemporal Uncertainties by Lingzhong Meng, Minggong Wu, Xiangxi Wen, Zhichong Zhou, Qingguo Tian

“…Meanwhile, existing global optimization strategies often face issues of inefficiency and overly broad adjustment scopes when dealing with large-scale plan conflicts. …”
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The Research on Image Adaptive Block Compressive Sensing Method Based on Underwater Depth Information by Shoubo Zhao, Jing Wang, Cheng Qian, Yue Yin

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Development of a highly sensitive reporter gene cell line for detecting estrogenic activity (the ER Isjaki assay) by Aline Colonnello Montero, Geeta Mandava, Agneta Oskarsson, Johan Lundqvist

“…Monitoring of estrogens in water sources faces significant challenges, as proposed changes in the European Union regulation for environmental protection of water bodies, compromise the ability of conventional analytical methods to detect low concentrations of estrogens. …”
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Research on non-destructive detection of chilled meat quality based on hyperspectral technology combined with different data processing methods by Zeyu Xu, Zeyu Xu, Zeyu Xu, Yu Han, Yu Han, Yu Han, Shuai Chen, Shuai Chen, Shuai Chen, Dianbo Zhao, Dianbo Zhao, Dianbo Zhao, Huanli Yao, Huanli Yao, Huanli Yao, Jiale Hao, Junguang Li, Junguang Li, Junguang Li, Ke Li, Ke Li, Ke Li, Shengjie Li, Yanhong Bai, Yanhong Bai, Yanhong Bai

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Anti-ship missile counter-detection strategies analyzing supported by electronic jamming device by Yupeng Xie, Pengfei Sun, Xuelong Hou, Jia Liu, Changsheng Dai

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Blockchain enhanced distributed denial of service detection in IoT using deep learning and evolutionary computation by V. V. S. H. Prasad, Swathi Sowmya Bavirthi, C. S. S. Anupama, E. Laxmi Lydia, K. Sathesh Kumar, Khalid Ammar, Mohamad Khairi Ishak

“…This paper proposes the Metaheuristic-Optimized Blockchain Framework for Attack Detection using a Deep Learning Model (MOBCF-ADDLM) method. …”
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Design and simulation of a graphene-integrated SPR biosensor for malaria detection by Talia Tene, Fabian Arias Arias, Karina I. Paredes-Páliz, Juan Carlos González García, Nataly Bonilla García, Cristian Vacacela Gomez

“…Two configurations (Sys3 and Sys4) were simulated using the transfer matrix method to determine optimal material thicknesses. …”
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Probabilistic Noise Detection and Weighted Non-Negative Matrix Factorization-Based Noise Reduction Methods for Snapping Shrimp Noise by Suhyeon Park, Jongwon Seok, Jungpyo Hong

“…In the proposed method, SPP acts as a key factor for SSN detection and reduction. …”
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Review of Detecting Text generated by ChatGPT Using Machine and Deep-Learning Models: A Tools and Methods Analysis by Shaymaa Dhyaa Aldeen, Thekra Abbas, Ayad Rodhan Abbas

“…The findings indicate that deep learning models, particularly the Robustly Optimized BERT Pretraining Approach (RoBERTa) and Cross-lingual Language Model with RoBERTa Architecture, have high detection accuracy (up to 99%), whereas traditional statistical methods exhibit limitations in distinguishing complex AI-generated content. …”
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Detection and Prediction of Wind and Solar Photovoltaic Power Ramp Events Based on Data-Driven Methods: A Critical Review by Jie Zhang, Xinchun Zhu, Yigong Xie, Guo Chen, Shuangquan Liu

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Evaluation of anhydrous processing and storage methods of the temperate bacteriophage ɸV10 for integration into foodborne pathogen detection methodologies. by Andrew Kanach, Theresa Bottorff, Min Zhao, Jun Wang, George T C Chiu, Bruce Applegate

“…One such hurdle, and the focus of this work, is the development of methods for transitioning laboratory stocks of bacteriophage into functional, consistent, and shelf-stable delivery methods in commercial detection kits. …”
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Evaluating Colilert and ChromAgar methods for the detection of ESBL bacteria in water samples from urban markets in Blantyre, Malawi by Miss Effita Masoamphambe, Dr Derek Cocker, Prof Nicholas Feasey, Dr Kondwani Chidziwitsano, Miss Mindy Panulo, Dr David Berendes, Dr Amy Kirby, Prof Tracy Morse

“…Here, we evaluated the use of ChromAgar culture and novel ESBL Colilert methods for detecting ESBLs in water samples. Methods: Four urban markets in Blantyre, Malawi were evaluated. …”
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