An Automatic Algorithm for Mapping Algal Blooms and Aquatic Vegetation Using Sentinel-1 SAR and Sentinel-2 MSI Data by Yihao Xin, Juhua Luo, Jinlong Zhai, Kang Wang, Ying Xu, Haitao Qin, Chao Chen, Bensheng You, Qing Cao

“…There are still limited algorithms that comprehensively reflect the dynamic changes of aquatic vegetation and AB. …”
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How to use learning curves to evaluate the sample size for malaria prediction models developed using machine learning algorithms by Sophie G. Zaloumis, Megha Rajasekhar, Julie A. Simpson

“…Abstract Background Machine learning algorithms have been used to predict malaria risk and severity, identify immunity biomarkers for malaria vaccine candidates, and determine molecular biomarkers of antimalarial drug resistance. …”
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Temperature drift modeling and compensation of micro-electro-mechanical system gyroscope based on improved support vector machine algorithms by Xinwang Wang, Huiliang Cao

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On the optimal control of single-stage hybrid manufacturing systems via novel and different variants of particle swarm optimization algorithm by M. Senthil Arumugam, M. V. C. Rao

“…A typical numerical example of the optimal control problem is included to analyse the efficacy and validity of the proposed algorithms. Several statistical analyses including hypothesis test are done to compare the validity of the proposed algorithms with the existing PSO technique, which adopts linearly decreasing inertia weight. …”
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An enhanced fruit fly optimization algorithm with random spare and double adaptive weight strategies for oil and gas production optimization by Xu Wang, Jingfu Shan

“…In this study, we propose an enhanced evolutionary algorithm tailored for global optimization and oil and gas production improvement. …”
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Web-Based, Algorithm-Guided Insulin Titration in Insulin-Treated Type 2 Diabetes: Pre-Post Intervention Study by Nishanth Thiagarajan, Hong Chang Tan, Suresh Rama Chandran, Phong Ching Lee, Yun Ann Chin, Wanling Zeng, Emily Tse Lin Ho, David Carmody, Su-Yen Goh, Yong Mong Bee

“…ObjectiveThis study evaluates the efficacy and safety of the ALRT telehealth solution—a US Food and Drug Administration–cleared, web-based platform that integrates SMBG with algorithm-driven insulin dose adjustments—in improving glycemia in insulin-treated T2D. …”
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The Three-Stage Strategy of Bi-Level Optimal Energy Management in the Distribution-Home Network Based on Golf Optimization Algorithm by Javad Goodarzi, Mohammad Tolou Askari, Meysam Amirahmadi, Majid Babaeinik

“…The results show that the method significantly reduces the market clearing price (MCP) for approximately 26% of the time intervals. …”
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Cuneiform Symbols Recognition Based on K-Means and Neural Network by Naktal Edan

“…</strong>But, there is no clear interest recognition cuneiform symbol, despite its importance. …”
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Coffee Leaf Rust Disease Detection and Implementation of an Edge Device for Pruning Infected Leaves via Deep Learning Algorithms by Raka Thoriq Araaf, Arkar Minn, Tofael Ahamed

“…All labeled images were used to train the YOLOv5 and YOLOv8 algorithms through the convolutional neural network (CNN). …”
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Identification of Major Bleeding Events in Postoperative Patients With Malignant Tumors in Chinese Electronic Medical Records: Algorithm Development and Validation by Hui Li, Haiyang Yao, Yuxiang Gao, Hang Luo, Changbin Cai, Zhou Zhou, Muhan Yuan, Wei Jiang

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Identification of mitophagy-related biomarkers in severe acute pancreatitis: integration of WGCNA, machine learning algorithms and scRNA-seq by Xiaozhou Xie, Xiaozhou Xie, Zheng Wang, Zheng Wang, Haoyu Zhang, Haoyu Zhang, Jiongdi Lu, Jiongdi Lu, Feng Cao, Feng Cao, Fei Li, Fei Li

“…BackgroundMitophagy is a highly conserved cellular process in eukaryotic cells that selectively clears dysfunctional or damaged mitochondria through autophagy mechanisms to maintain mitochondrial homeostasis. …”
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Discrimination Features by Wavelet Transformation by Faten Mustafa, Turkan Khalil, Almas Khalil

“…The results showed that the classification of images resulting from the wavelet transformation was accurate and of high amount (%96.715) compared to the results of the classification of non-original images using the improved wavelet transformation, with the accuracy of the classification (%92.652) and to obtain a clear picture parameters for the study of high quality. especially when discrimination features such as terrestrial lake, the body of dams and residential areas in addition to discrimination agricultural areas, the classification algorithm, which was used in this study, is an algorithm of Mahalanobis Distance.…”
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An Aliasing Measure of Factor Effects in Three-Level Regular Designs by Qiuying Chen, Zhiming Li, Zhi Li

“…Further, an aliasing algorithm is provided, and all 27-run, some of the 81-run, and 243-run three-level designs are listed in tables and compared with the rankings under other criteria. …”
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Optimal directional overcurrent relay settings for stable microgrids with synchronous and inverter-based resources by Abdelfattah A. Eladl, Ahmed N. Sheta, M. Elgamal, Juan C. Vasquez, Bishoy E. Sedhom

“…Therefore, a novel dual inverse settings for DOCRs to ensure relay coordination and MGs stability is proposed. Critical clearing times for DERs, accounting for inverter-based DER participation, are determined and integrated with coordination constraints to obtain DOCR settings using genetic algorithm. …”
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A Bi-level Stochastic-Robust Optimal Bidding Model of Wind-Storage System in Spot Markets Considering Internal and External Uncertainties by Haowen Xu, Minglei Bao, Xun Yao, Xiaocong Sun, Yi Ding, Zhenglin Yang

“…In the lower level, the clearing process of the day-ahead market is modeled to determine the clearing market price and quantity. …”
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Optimization of Construction Projects Time-Cost-Quality-Environment Trade-off Problem Using Adaptive Selection Slime Mold Algorithm by Pham Vu Hong Son, Luu Ngoc Quynh Khoi

“…This study utilizes a Hybrid algorithm called Adaptive Selection Slime Mold Algorithm (ASSMA), which combines the Tournament Selection (TS) and Slime Mould Algorithm (SMA) to address the four-factor optimization problem in projects. …”
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Application of CycleGAN-based low-light image enhancement algorithm in foreign object detection on belt conveyors in underground mines by Anxin Zhao, Qiuhong Zheng, Liang Li

“…Abstract Clear monitoring images are crucial for the safe operation of belt conveyors in coal mines. …”
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Optimal load frequency control system for two-area connected via AC/DC link using cuckoo search algorithm by Gaber EL-SAADY, Alexey MIKHAYLOV, Nora BARANYAI, Mahrous AHMED, Mahmoud HEMEIDA

“…The results demonstrated the effectiveness of the proposed controller based on both algorithms and, it is clear that CSA is superior to PSO. …”
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An online clustering algorithm predicting model for prostate cancer based on PHI-related variables and PI-RADS in different PSA populations by Jiyuan Hu, Qi Miao, Jiayi Ren, Hongbo Su, Xianlu Zhang, Jianbin Bi, Gejun Zhang

“…Next, we determined optimal and customized PHI cut-off values, calculated NPV and PPV, and selected logistic regression as the best method among several machine-learning algorithms. Subsequently, the significant variables were identified, and then a clustering algorithm was constructed. …”
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Resisting bad mouth attack in vehicular platoon using node-centric weight-based trust management algorithm (NC-WTM) by R. Priya, N. Sivakumar

“…Abbreviations: VANETs: vehicular ad hoc networks; IVC: inter-vehicular communication; NC-WTM: node-centric weight-based trust management algorithm; WTM: weight-based trust management algorithm; RPRep: robust and privacy-preserving reputation management scheme; ART: attack-resistant trust management scheme; MANET: mobile ad hoc network; DSRC: dedicated short-range communication; WAVE: wireless access in vehicular environment; IVC: inter-vehicular communication; I2V: infrastructure-to-vehicle; V2I: vehicle-to-infrastructure; V2V: vehicle-to-vehicle; TA: trust authority; RSU: road side unit; OBU: on-board unit; GPS: global positioning system; WSN: wireless sensor network; VASNETs: vehicular sensor networks; CCW: cooperative collision warning; BMA: bad mouth attack; TDMA: time division multiple access; GDVAN: greedy detection for VANETs; SMTS: spider monkey time synchronization; SVM: support vector machine; DST: Dempster-Shafer theory of evidence; TA: trust authority; PCA: puzzle-based co-authentication; VLC: visible light communication; NE: Nash equilibrium; RTB: request-to-broadcast; CTB: clear-to-broadcast; RREQ: route request message; RREP: route reply; DDR: data disseminate ratio; Dir: direct trust; IDir: indirect trust; TCE: trust computation error; PDR: packet delivery ratio…”
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