Predictive analysis of solubility data with pressure and temperature in assessing nanomedicine preparation via supercritical carbon dioxide by Hashem O. Alsaab, Yusuf S. Althobaiti

“…The ADABOOST ensemble technique was applied to strengthen the predictive capabilities of the models, while hyperparameter tuning was conducted using the Jellyfish Optimization (JO) algorithm. …”
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Cost-benefit analysis in demand response with penalty and grid management using blockchain by Manikandan Ramasamy, Thenmalar Kaliannan, Saravanakumar Ramasamy

“…This study aims to optimize utility benefits while minimizing transaction and conventional power costs. …”
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A Spiderless Arachnophobia Therapy: Comparison between Placebo and Treatment Groups and Six-Month Follow-Up Study by Laura Carmilo Granado, Ronald Ranvaud, Javier Ropero Peláez

“…In this therapy, patients attend a computer presentation of images that, while not being spiders, have a subset of the characteristics of spiders. …”
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Deep learning can reduce acquisition time of T2-weighted image in brain imaging by Eman Hassan El-Saeed Abou-ELMagd, Sabry Alameldin Elmogy, Dina Gamal Abdelzaher

“…Abstract Background We used the deep learning-based reconstruction algorithm to reduce the scan time for brain T2-weighted images (T2WI) with reduction of image noise and preservation of image quality. …”
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Enhancing maize streak virus detection: a comparative analysis of Sentinel-2 MSI and Landsat 9 OLI data across vegetative and reproductive growth stages by Thabiso Jack Choshi, Inos Dhau, Frederick Mashao

“…Sentinel-2 Red Edge 1–3 and Near-Infrared (NIR) bands effectively identified infected maize, while Landsat 9 struggled, particularly in the reproductive stage. …”
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Intelligent Counterforce Allocation Method Using Multi-Agent Reinforcement Learning for Ground Operations by Kiwoong Park, Sangheun Shim

“…Modern military operations require commanders to make complex tactical decisions involving the effective allocation of multiple friendly forces to counter enemy threats while managing diverse streams of battlefield information. …”
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Real-Time Radar Classification Based on Software-Defined Radio Platforms: Enhancing Processing Speed and Accuracy with Graphics Processing Unit Acceleration by Seckin Oncu, Mehmet Karakaya, Yaser Dalveren, Ali Kara, Mohammad Derawi

“…Employing the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm as a robust classifier, the system harnesses Graphical Processing Unit (GPU) parallelization for efficient radio frequency (RF) parameter extraction. …”
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Text to Speech Using Finite State Automata on Health Data by Indrianto Indrianto, Abdurrasyid Abdurrasyid, Meilia Nur Indah Susanti, Givari Fairus Ferdiansyah Deu, Arief Ramadhan

“…Computer science and engineering has provided many benefits that can be applied in our lives, such as in the field of automata theory, one of the largest areas related to the efficiency of an algorithm in solving problems in computational models. …”
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Regenerative Braking in PV-Mounted Electric Vehicle With Reduced Switch VSI-Driven BLDC Motor and HAP-FUP Controller by Ron Carter S. B., Thangavel S.

“…Maximum energy is extracted from the PV module via employment of a particle swarm optimization (PSO)-based maximum power point tracking (MPPT) algorithm, while propulsion is provided through utilization of a brushless direct current (BLDC) motor driven by reduced switch voltage source inverter (VSI). …”
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Shape optimization and mechanical properties analysis of the free-form surface by Cui Guoyong, Cui Changyu

“…A new method was established to minimize the strain energy while improving the computation efficiency. The optimization model, sensitivity analysis, optimum algorithm, and mechanics analysis program were all implemented in FORTRAN language, with two free-form continuous shell structure surfaces to demonstrate the correctness and effectiveness of the method. …”
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The Interfaces Twitter Elections Dataset: Construction process and characteristics of big social data during the 2022 presidential elections in Brazil. by Sylvia Iasulaitis, Alan Demétrius Baria Valejo, Bruno Cardoso Greco, Vinicius Gonçalves Perillo, Guilherme Henrique Messias, Isabella Vicari, with the Interfaces—Center for Sociopolitical Studies of Algorithms and Artificial Intelligence

“…The "token farm" algorithm, was employed to iterate over available API keys. …”
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A Long-Term Shared Autonomous Vehicle System Design Problem considering Relocation and Pricing by Jingjing Tian, Hongfei Jia, Guanfeng Wang, Yu Lin, Ruiyi Wu, Ao Lv

“…Then, we integrate the Particle Swarm Optimization (PSO) algorithm with the optimization solver Gurobi to address the complex problem. …”
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New Approach for Unambiguous High-Resolution Wide-Swath SAR Imaging by Yueguan Lin, Yida Fan, Hai Jiang, Wei Wang

“…It has the potential to achieve wide spatial coverage and fine azimuth resolution, while it suffers from elevation pattern loss caused by the presence of topographic height and impaired azimuth resolution caused by nonuniform sampling. …”
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Predicting Weather Disruptions for the ICC Champions Trophy 2025 in Pakistan Using Machine Learning and Data Analytics by Syeda Faiza Nasim, Umm-e-Kulsoom, Syeda Alishba Fatima, Salka Naushad

“…The research highlights the significance of data-driven decision-making for event planners, as it empowers them to execute efficient backup plans The main objective of this research is to improve the sports environment for both players and spectators while tackling the urgent problems caused by climate variability. …”
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Multiverse Analysis for Dynamic Network Models: Investigating the Influence of Plausible Alternative Modeling Choices by Björn S. Siepe, Daniel W. Heck

“…However, researchers typically perform and report only a single, preferred analysis while ignoring alternatives that could yield different conclusions. …”
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Adaptively Implicit Advection for Atmospheric Flows by Hilary Weller, Christian Kühnlein, Piotr K. Smolarkiewicz

“…This adaptively implicit advection scheme facilitates efficient and robust integrations with long time‐steps while having negligible impact on the overall accuracy, and achieving monotonicity and local conservation on general meshes. …”
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Enabling disaggregation of Asian American subgroups: a dataset of Wikidata names for disparity estimation by Qiwei Lin, Derek Ouyang, Cameron Guage, Isabel O. Gallegos, Jacob Goldin, Daniel E. Ho

“…Recent U.S. federal regulations have required increasingly disaggregated race reporting, but major implementation barriers mean that, in practice, reported race data continues to remain inadequate. While imputation methods have enabled disparity assessments in many research and policy settings lacking reported race, the leading name algorithms cannot recover disaggregated categories, given the same lack of disaggregated data from administrative sources to inform algorithm design. …”
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An enhanced moth flame optimization extreme learning machines hybrid model for predicting CO2 emissions by Ahmed Ramdan Almaqtouf Algwil, Wagdi M. S. Khalifa

“…The model integrates the Gaussian mutation and shrink mechanism-based moth flame optimization (GMSMFO) algorithm with an extreme learning machine (ELM). GMSMFO enhances population diversity and avoids local optima through Gaussian mutation (GM), while the shrink mechanism (SM) improves exploration–exploitation balance. …”
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Optimal scheduling of BIES with multi-energy flow coupling based on deep RL by XIA Xuhua, YANG Jiandi, SHI Yongtao

“…Building integrated energy systems （BIESs） can enhance energy efficiency ratio （EER） and reduce carbon emissions while meeting diverse user-side load demands. To further improve the energy dispatch capability of BIES， this paper proposes a low-carbon economic and optimal dispatch method for BIES with multi-energy flow coupling based on deep reinforcement learning （deep RL）. …”
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Demand Forecasting in Data-Scarce and Resource-Restricted Environments by David Gogelein, Marianne von Schwerin, Thomas Walter

“…This approach divides each day into evenly spaced time intervals and various average user demands, while forecasts are made and refined based on on-site data to account for short-term fluctuations. …”
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