Economic Optimization of Combination of Wind, Solar, and Battery Storage for Grid-Independent Power Supply using Cuckoo Optimization Algorithm by Waleed Khalid Al-Azzawi, Ahmed Majed Althahabi, Kadhum Al-Majdi, Jenan Ali Hammoode, Ali Hussein Adhab, Alaa M. Lafta, Julayeva Zhazira, Ðbdukarimov Sadratdin

“…To achieve this objective, the Cuckoo Optimization Algorithm (COA), a metaheuristic optimization algorithm, has been used to optimize the system. …”
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Predicting Weaning Weight of Romanov Lambs From Biometric Measurements Before Weaning Age Using Machine Learning Algorithms by Mehmet Eroğlu, Ali Osman Turgut, Mürsel Küçük, Muhammed Furkan Önen

“…Objective This study aimed to investigate the performance of different machine learning algorithms in predicting weaning weight based on biometric measurements of Romanov lambs at 30 days of age. …”
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Investigating Catching Hotspots of Fishing Boats: A Framework Using BeiDou Big Data and Deep Learning Algorithms by Fen Wang, Xingyu Liu, Tanxue Chen, Hongxiang Feng, Qin Lin

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Decoding basic emotional states through integration of an fNIRS-based brain-computer interface with supervised learning algorithms. by Ayşenur Eser, Sinem Burcu Erdoğan

“…Three class classification performances of all algorithms were above 90% in terms of accuracy, sensitivity, specificity, F-1 score and precision metrics while two class accuracy performances of all algorithms were above 93% in terms of each performance metric. …”
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Optimasi Weight AHP Menggunakan Genetic Algorithm untuk Rekomendasi Platform Media Sosial Sebagai Sarana Promosi Digital by Risqy Siwi Pradini, Mochammad Anshori, M. Syauqi Haris

“…Urutan rekomendasi tersebut berhasil didapatkan dengan pendekatan optimasi weight Analytical Hierarchy Process (AHP) menggunakan Genetic Algorithm (GA) untuk rekomendasi platform media sosial sebagai sarana promosi digital. …”
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Comprehensive analysis of compound drought and heatwave events in China over recent decades based on regional event identification algorithm by Liu Jinping, Li Mingzhe, Liu Tie, Ren Yanqun, Hu Qingfeng, Masoud Jafari Shalamzari, Quoc Bao Pham, He Peipei

“…The regional event identification algorithm, Intensity-Area-Duration (IAD), is applied for CDHE detection. …”
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Distribution Network Reconfiguration Using Selective Firefly Algorithm and a Load Flow Analysis Criterion for Reducing the Search Space by Cassio Gerez, Lindenberg I. Silva, Edmarcio A. Belati, Alfeu J. Sguarezi Filho, Eduardo C. M. Costa

“…The algorithm is applied to the DNR, and all its implementation and adequacy to the problem studied are presented. …”
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Identification of key biomarkers of the glomerulus in focal segmental glomerulosclerosis and their relationship with immune cell infiltration based on WGCNA and the LASSO algorithm by Yun Xia Zhang, Juan Lv, Jun Yuan Bai, XiaoWei Pu, En Lai Dai

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Seismic Domain Identification Algorithm Using Fuzzy Logic Methods With Combined Geological and Geomorphological Data for the Case of Sakhalin Island by Sobisevich Aleksey, Steblov G. M., Agibalov A. O., Aleshin Igor, Balashov G. R., Kondratov A. D., Makeev V. M., Perederin V. P., Perederin F. V., Sentsov A., Kholodkov Kirill I.

“…An algorithm for identifying seismic generation zones or “seismic domains” using fuzzy logic has been developed and tested on the island of Sakhalin. …”
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Modeling of 3 SAT discrete Hopfield neural network optimization using genetic algorithm optimized K-modes clustering by Xiaojun Xie, Saratha Sathasivam, Hong Ma

“…Subsequently, the paper presented a DHNN-3SAT model optimized by genetic algorithms combined with K-modes clustering. This model employed genetic algorithm-optimized K-modes clustering to effectively cluster the initial space, significantly reducing the search space. …”
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Remaining Useful Life Estimation of Used Li-Ion Cells With Deep Learning Algorithms Without First Life Information by I. Sanz-Gorrachategui, Y. Wang, A. Guillen-Asensio, A. Bono-Nuez, B. Martin-del-Brio, P. V. Orlik, P. Pastor-Flores

“…These features are automatically processed by deep learning algorithms, including Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. …”
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Glasgow‐Blatchford score combined with nasogastric aspirate as a new diagnostic algorithm for patients with nonvariceal upper gastrointestinal bleeding by Toshiyuki Wakatsuki, Tomohiko Mannami, Shinichi Furutachi, Hiroki Numoto, Tsuyoshi Umekawa, Mayu Mitsumune, Tsukasa Sakaki, Hanako Nagahara, Yasushi Fukumoto, Takashi Yorifuji, Shin'ichi Shimizu

“…We developed a simple diagnostic algorithm combining the GBS and nasogastric aspirate and evaluated its diagnostic performance. …”
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Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms by S. Jayanthi, Swathi Sowmya Bavirthi, P. Murali, K. Vijaya Kumar, Hend Khalid Alkahtani, Mohamad Khairi Ishak, Samih M. Mostafa

“…However, it is valuable as these attacks may lead to big problems. Various methods are presented for attack detection and prevention. …”
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Machine Learning for the Prediction of Acute Kidney Injury in Critically Ill Patients With Coronary Heart Disease: Algorithm Development and Validation by Yike Li, Mingyang Xiao, Yaqian Li, Lulu Lv, Shanshan Zhang, Yuhui Liu, Juan Zhang

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Study on risk factors of impaired fasting glucose and development of a prediction model based on Extreme Gradient Boosting algorithm by Qiyuan Cui, Jianhong Pu, Wei Li, Yun Zheng, Jiaxi Lin, Lu Liu, Peng Xue, Jinzhou Zhu, Mingqing He

“…The machine learning algorithms used in this study include Extreme Gradient Boosting (XGBoost), Support Vector Machines (SVM), Naive Bayes, Decision Trees (DT), and traditional Logistic Regression (LR). …”
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Multi-Algorithm-Integrated Tertiary Lymphoid Structure Gene Signature for Immune Landscape Characterization and Prognosis in Colorectal Cancer Patients by Xianqiang Liu, Dingchang Li, Yue Zhang, Hao Liu, Peng Chen, Yingjie Zhao, Guanchao Sun, Wen Zhao, Guanglong Dong

“…CCL2 may function as a TLS modulator and holds potential as a therapeutic target in CRC.…”
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Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana by Frederick Osei Owusu, Helena Addai-Manu, Esther Serwah Agbedinu, Emmanuel Konadu, Lydia Asenso, Mercy Addae, Joseph Osarfo, Brenda Abena Ampah, Douglas Aninng Opoku

“…Abstract Background Machine learning algorithms may contribute to improving maternal and child health, including determining the suitability of caesarean section (CS) births in low-resource countries. …”
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Clinical performance of human papillomavirus based cervical cancer screening algorithm: The result of a large Danish implementation study by Sofie Lindquist, Susanne K. Kjær, Kirsten Frederiksen, Dorthe Ørnskov, Lone Kjeld Petersen, Christian Munk, Marianne Waldstrøm

“…Conclusions In this pilot implementation study, an algorithm for HPV‐based screening was evaluated in a Danish setting. …”
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Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway by Harald Zandler, Jakob Abermann, Benjamin A. Robson, Alexander Maschler, Thomas Scheiber, Jonathan L. Carrivick, Jacob C. Yde

“…We conclude that continued development of deep learning-based feature tracking approaches for glacier velocity computations may substantially improve UAV-based velocity derivations applied to challenging situations. …”
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Classification of FAMACHA© Scores with Support Vector Machine Algorithm from Body Condition Score and Hematological Parameters in Pelibuey Sheep by Oswaldo Margarito Torres-Chable, Cem Tırınk, Rosa Inés Parra-Cortés, Miguel Ángel Gastelum Delgado, Ignacio Vázquez Martínez, Armando Gomez-Vazquez, Aldenamar Cruz-Hernandez, Enrique Camacho-Pérez, Dany Alejandro Dzib-Cauich, Uğur Şen, Hacer Tüfekci, Lütfi Bayyurt, Hilal Tozlu Çelik, Ömer Faruk Yılmaz, Alfonso J. Chay-Canul

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