IoT-driven real-time weather measurement and forecasting mobile application with machine learning integration by Jul Jalal Al-Mamur Sayor, Nishat Tasnim Shishir, Bitta Boibhov Barmon, Sumon Ahemed, Md. Moshiur Rahman

“…APIs (Application Programming Interface) enable efficient data input and retrieval, guaranteeing smooth connection and integration between the sensors and the forecasting algorithms. Moreover, we analyze forecasts from Google and systematically compare them with our localized predictions to highlight the advantages of site-specific deployment for achieving superior localized outcomes. …”
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Mechanical performance prediction of basalt fiber reinforced concrete based on random forest and hyperparameter optimization by Dalian Bai, Junwen Chen, Jialiang Wang, Cunpeng Liu

“…This study applies the Random Forest (RF) algorithm combined with hyperparameter optimization methods including Grid Search (GS), Random Search (RS), Bayesian Optimization (BO), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Optuna Optimization (OO) to build a predictive model. …”
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Robust Tracking Control of Underactuated UAVs Based on Zero-Sum Differential Games by Yaning Guo, Qi Sun, Quan Pan

“…This approach contrasts with conventional methods by treating disturbances as strategic “players”, enabling a systematic framework to address both external disturbances and model uncertainties. …”
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Multi-omics reveals the polyethylene terephthalate carcinogenicity: Cancer progression and immune microenvironment by Kangping Yang, Xianhuan Zhou, Kai Wu, Jiaqiang Wu, Chunxia Huang, Liang Yang

“…This multidisciplinary study systematically investigates PET's carcinogenic mechanisms by integrating network toxicology, machine learning, molecular docking simulations, single-cell RNA sequencing, and spatial transcriptomics. …”
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Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete by Ala’a R. Al-Shamasneh, Arsalan Mahmoodzadeh, Faten Khalid Karim, Taoufik Saidani, Abdulaziz Alghamdi, Jasim Alnahas, Mohammed Sulaiman

“…The generalization performance of each model was examined by systematically altering input variables (fiber type, fiber content, w/c ratio, and aggregate size) while holding other parameters constant. …”
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Petrographic image classification of complex carbonate rocks from the Brazilian pre-salt using convolutional neural networks by Mateus Basso, João Paulo da Ponte Souza, Guilherme Furlan Chinelatto, Luis Augusto Antoniossi Mansini, Alexandre Campane Vidal

“…Abstract Machine learning (ML) algorithms have been widely applied across geosciences for tasks such as data conditioning, resolution enhancement, and image classification. …”
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Land Surface Condition-Driven Emissivity Variation and Its Impact on Diurnal Land Surface Temperature Retrieval Uncertainty by Lijuan Wang, Ping Yue, Yang Yang, Sha Sha, Die Hu, Xueyuan Ren, Xiaoping Wang, Hui Han, Xiaoyu Jiang

“…Furthermore, the impact of LSE models on diurnal LST retrieval accuracy is systematically evaluated through comparative experiments, emphasizing the necessity of integrating time-dependent LSE corrections into radiative transfer equations. …”
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Machine learning-driven development of a stratified CES-D screening system: optimizing depression assessment through adaptive item selection by Ruo-Fei Xu, Zhen-Jing Liu, Shunan Ouyang, Qin Dong, Wen-Jing Yan, Dong-Wu Xu

“…Model performance was systematically evaluated through discrimination (ROC analysis), calibration (Brier score), and clinical utility analyses (decision curve analysis), with additional validation using random forest and support vector machine algorithms across independent samples. …”
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Assimilating satellite‐based canopy height within an ecosystem model to estimate aboveground forest biomass by E. Joetzjer, M. Pillet, P. Ciais, N. Barbier, J. Chave, M. Schlund, F. Maignan, J. Barichivich, S. Luyssaert, B. Hérault, F. vonPoncet, B. Poulter

“…The error budget was evaluated in details, and systematic errors related to the ORCHIDEE‐CAN structure contribute as a secondary source of error and could be overcome by using improved allometric equations.…”
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Pioneering CPMI framework for accurate state-of-health assessment in Lithium ion battery power management using FBG sensors by Taher M. Ghazal, Ali Q. Saeed, Mosleh M. Abualhaj, Taj-Aldeen Naser Abdali, Munir Ahmad

“…This classification approach generates a quantitative maintenance index that enables systematic assessment scheduling rather than arbitrary inspections. …”
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Semi-analytical modeling and multi-objective optimization of horizontal-well deep borehole heat exchangers by Zhiwei Wang, Xuemei Zhang, Hui Zhang, Hangyu Liu, Shangkuan Yang, Zheng Qian, Jianguo Feng

“…Based on these insights, a particle swarm optimization (PSO) algorithm simultaneously explores pipe radius, horizontal-well length, working fluid flow rate and groundwater seepage velocity to maximize the objective function—the working fluid outlet temperature and minimize system costs. …”
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STRATEGIC GOALS AND QUALITATIVE PROGRESS INDICATORS OF THE PROCESS OF NEO-INDUSTRIALISATION OF THE MANUFACTURING INDUSTRY IN UKRAINE by Olha Ilyash, Nataliia Semenchenko, Andrii Sachenko

“…The scientific research is derived from a systematic approach to the analysis of the entire landscape of neo-industrialisation, which includes the survey of the current state of the industries, the establishment of metrics and methodological tools for the implementation of the development policy of the manufacturing industry. …”
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Integrating transcriptomics and hybrid machine learning enables high-accuracy diagnostic modeling for nasopharyngeal carcinoma by Hehe Wang, Junge Zhang, Peng Cheng, Lujie Yu, Chunlin Li, Yaowen Wang

“…Differential expression analysis identified 293 differentially expressed genes (DEGs). Twelve ML algorithms (including Stepglm, glmBoost, and RF) were systematically combined into 113 distinct models to classify NPC versus normal tissues. …”
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The Radio and Microwave Sky as Seen by Juno on its Mission to Jupiter by C. J. Anderson, P. Berger, T.-C. Chang, O. Doré, S. Brown, S. Levin, M. Seiffert

“…We also estimate the level of systematic pixelization noise and polarization leakage via simulations.…”
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Chain-of-programming (CoP): empowering large language models for geospatial code generation task by Shuyang Hou, Haoyue Jiao, Zhangxiao Shen, Jianyuan Liang, Anqi Zhao, Xiaopu Zhang, Jianxun Wang, Huayi Wu

“…To address this issue, this paper proposes the Chain-of-Programming (CoP) framework, which divides the generation process into five steps: requirement analysis, algorithm design, code implementation, debugging, and annotation. …”
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Monitoring of ecological security patterns based on long-term land use changes in Langsa Bay, Indonesia by Jiaojie Zhang, Fengqin Yan, Vincent Lyne, Xuege Wang, Fenzhen Su, Qian Cao, Bin He

“…We coupled the RF-GLCM algorithm and the InVEST-PLUS model to simulate ecological services. …”
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Atrial fibrillation with thrombotic complications. Justification of the diagnosis and treatment regimen according to evidence-based medicine (clinical case) by L.O. Martymianova, E.P. Kamenska, A.O. Bulyha, K.О. Serdyuk

“…Conclusions. Diagnosis and systematic screening of AF, as well as timely assessment of stroke risk, are of paramount importance for the prognosis of patients, especially in older age groups. …”
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Optimizing electric vehicle energy consumption prediction through machine learning and ensemble approaches by Izhar Hussain, Kok Boon Ching, Chessda Uttraphan, Kim Gaik Tay, Adeeb Noor, Sufyan Ali Memon

“…The K-Nearest Neighbors (KNN) algorithm is employed as the base model, with hyperparameter optimization performed using GridSearchCV, RandomizedSearchCV, Optuna, and Particle Swarm Optimization (PSO). …”
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Study on Dynamic Response and Progressive Collapse Resistance of Space Steel Frame Under Impact Load by Junling Jiang, Zhishuang Zhang, Changren Ke

“…This study develops a three-story, multi-scale spatial steel frame finite element model using ABAQUS 2023 software, and the contact algorithm and material parameters were validated through published drop-weight impact beam tests. …”
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ASSESSMENT OF FINANCIAL SECURITY OF BANKS IN CONDITIONS OF MACROECONOMIC INSTABILITY by Tetiana Momot, Svetlana Rodchenko

“…The purpose of this article is to systematize theoretical and methodological provisions and substantiate practical recommendations for assessing the level of financial security of banks. …”
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