Spatial modeling of brine level and salinity in the Qarhan Salt Lake using GIS and automated machine learning algorithms by Dongmei Yu, Zitao Wang, Chao Yue, Jianping Wang

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A novel algorithm for streamlined surgeon-dominated patient-specific implant design in computer-assisted jaw reconstruction by Ankit Nayak, Jane Jingya PU, Xingna YU, Yu-Xiong Su

“…Methods The algorithm requires a three-dimensional (3D) model of the reconstructed part. …”
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FDRL: a data-driven algorithm for forecasting subsidence velocities in Himalayas using conventional and traditional soil features by Sahil Sankhyan, Ajoy Kumar, Praveen Kumar, Aaditya Sharma, K. V. Uday, Varun Dutt

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Integration of MRMR algorithm with advanced neural networks for modeling long-term crop water demand in agricultural basins by Ahmed Elbeltagi, Abdullah A. Alsumaiei, Ali Raza, Mustafa Al-Mukhtar, Salim Heddam

“…The wide neural network (Wi-ANN) outperformed the other methods in both training and testing, achieving high accuracy across all metrics in the testing stage: R 2 (0.977), root mean square error 6.423 mm, and mean absolute error 3.371 mm. …”
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Hybrid salp swarm maximum power point tracking algorithm for photovoltaic systems in highly fluctuating environmental conditions by Mohd Nasrul Izzani Jamaludin, Mohammad Faridun Naim Tajuddin, Tarek Younis, Sudhakar Babu Thanikanti, Mohammad Khishe

“…The performance of the tracking capability of this proposed hybrid technique at both steady-state and dynamic conditions under rapid and gradual irradiance changes demonstrates its superiority over recent state-of-the-art algorithms.…”
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Evaluation of Machine Learning Algorithms for NB-IoT Module Energy Consumption Estimation Based on Radio Channel Quality by Dusan Bortnik, Vladimir Nikic, Srdjan Sobot, Dejan Vukobratovic, Ivan Mezei, Milan Lukic

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Energy Consumption Prediction in Iran: A Hybrid Machine Learning and Genetic Algorithm Method with Sustainable Development Considerations by Seyyed Mohammad Mehdi Fatemi Bushehri, Saeed Dehghan Khavari, Seyed Hossein Mirjalili, Hamid Babaei Meybodi, Mohsen Sardari Zarchi

“…Therefore, in the present study, both aspects of sustainable development in the determinants of energy demand and the nonlinear hybrid method have been used. …”
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Optimizing Land Use Classification Using Google Earth Engine: A Comparative Analysis of Machine Learning Algorithms by M. Sultan, N. Saleous, S. Issa, B. Dahy, M. Sami

“…The objective is to evaluate and compare the performance of these algorithms using Sentinel-2 imagery from 2024 while also assessing GEE’s suitability for handling both the dataset and algorithms. …”
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Enhanced Localization in Wireless Sensor Networks Using a Bat-Optimized Malicious Anchor Node Prediction Algorithm by Balachandran Nair Premakumari Sreeja, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler

“…To address this challenge, we propose the security-aware localization using bat-optimized malicious anchor prediction (BO-MAP) algorithm. This approach utilizes a refined bat optimization algorithm to improve both the precision of localization and the security of WSNs. …”
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Evaluation of K-Means Algorithm for Faulted Landforms Extraction and Offset Measurement With an Example From the Eastern Kunlun Fault by Shengchao Zhou, Zhou Lin

“…Furthermore, a quantitative comparison of several commonly used unsupervised algorithms confirmed that K-means performs best, achieving a recall of 0.70 and an accuracy of 0.906 on the dataset. …”
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AI-Driven Identification of Grapevine Fungal Spores via Microscopic Imaging and Feature Optimization with Cuckoo Search Algorithm by Xin Shi, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

“…Individual species classification accuracies were 95.24% for L. brasiliensis, 95.00% for L. crassispora, and 100% for both L. exigua and L. gilanensis. Feature selection using the cuckoo search algorithm identified ten key attributes for classification. …”
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Model Parametrization-Based Genetic Algorithms Using Velocity Signal and Steady State of the Dynamic Response of a Motor by Mayra Cruz-Fernández, J. T. López-Maldonado, Omar Rodriguez-Abreo, Alondra Anahí Ortiz Verdín, J. Iván Amezcua Tinajero, Idalberto Macías-Socarrás, Juvenal Rodríguez-Reséndiz

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Reinforcement Learning-Driven Hunter-Prey Algorithm Applied to 3D Underwater Sensor Network Coverage Optimization by Zibo Huang, Fangxiu Wang, Chen Su, Yi Wang, Hui Liu

“…Lastly, the Nelder-Mead simplex strategy is introduced to perturb poorly performing individuals within the population, fully exploiting their search potential and preventing the algorithm from getting trapped in local optima. The performance of the RL-HPO algorithm in three-dimensional WSN environments, both with and without obstacles, was evaluated through simulation experiments. …”
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Optimized Hybrid Deep Learning Framework for Early Detection of Alzheimer’s Disease Using Adaptive Weight Selection by Karim Gasmi, Abdulrahman Alyami, Omer Hamid, Mohamed O. Altaieb, Osama Rezk Shahin, Lassaad Ben Ammar, Hassen Chouaib, Abdulaziz Shehab

“…The framework achieves balanced usage of the distinct characteristics of both models through the iterative optimization of the weight configuration. …”
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Equalizer Design: HBOA-DE-trained radial basis function neural networks by Santosh Kumar Das, Satya Ranjan Pattanaik, Pradyumna Kumar Mohapatra, Saroja Kumar Rout, Abdulaziz S. Almazyad, Muhammed Basheer Jasser, Guojiang Xiong, Ali Wagdy Mohamed

“…Both BOA and DE are advantageous in the proposed algorithm, which permits it to produce efficient results by balancing exploration and exploitation. …”
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BioFire FilmArray Meningitis/Encephalitis Panel Utilised for the Unsolved Cases of Meningitis/Encephalitis: A Cross-sectional Study by Bashir Ahmad Fomda, Sanam Rasool Wani, Irfan Ul Haq, Anjum Ara, Gulnaz Bashir, Shugufta Roohi, Sheikh Imtiyaz, Naseer Ahmad Bhat

“…Conclusion: A syndrome-based diagnosis of ME should be implemented in every institute, following the development of a proper diagnostic algorithm that is both feasible and accurate, based on local experience and available resources.…”
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Optimized stress-strain modeling of eco-friendly fiber-reinforced concrete members using meta-heuristic algorithms by Sawsan Akram Hassan, Mahir M. Hason, Ammar N. Hanoon, Ali A. Abdulhameed

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GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm. by Leonardo Bottolo, Marc Chadeau-Hyam, David I Hastie, Tanja Zeller, Benoit Liquet, Paul Newcombe, Loic Yengo, Philipp S Wild, Arne Schillert, Andreas Ziegler, Sune F Nielsen, Adam S Butterworth, Weang Kee Ho, Raphaële Castagné, Thomas Munzel, David Tregouet, Mario Falchi, François Cambien, Børge G Nordestgaard, Fredéric Fumeron, Anne Tybjærg-Hansen, Philippe Froguel, John Danesh, Enrico Petretto, Stefan Blankenberg, Laurence Tiret, Sylvia Richardson

“…Here we propose a computationally efficient algorithm (GUESS) to explore complex genetic-association models and maximize genetic variant detection. …”
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Enhanced Spatial Clustering for Crime Analysis: Novel Advances in Ward-Like and SKATER Algorithms for Brazilian Public Security by Raydonal Ospina, Alexsandra Gomes De Lima, Cristiano Ferraz, Cecilia Castro, Carlos Martin-Barreiro, Victor Leiva

“…All computations were performed in the <monospace>R</monospace> software and both the code and methods are readily transferable to other cities facing similar crime-mapping challenges.…”
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Anatomic basis for an algorithmic approach for free fibula flap donor side selection in composite oro-mandibular defects by Mohit Sharma, Abhijeet Wakure, Krishnakumar Thankappan, Jimmy Mathew, Dayanand Jairaj, Raghuveer Reddy Dudipala, Subramania Iyer

“…Composite fibula flaps of the same dimension were harvested from both legs of a fresh cadaver. The harvested flaps were used to reconstruct the mandibular defect in different orientations and the best configuration for each reconstructive requirement was assessed. …”
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