Optimized AI and IoT-Driven Framework for Intelligent Water Resource Management by Mahmoud Badee Rokaya Mahmoud, Dalia Ismaeil Ibrahim Hemdan, Samah Hazzaa Alajmani, Raneem Yousif Alyami, Ghada Elmarhomy, Hassan Hashim, El-Sayed Atlam

“…The architecture combines the ensemble-learning algorithms (XGBoost, LightGBM), hybrid AIs (XGBoost + Autoencoder), and metaheuristic feature selection (GA, PSO, SA) for making intelligent decisions. …”
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Reflection Reduction on DDR3 High-Speed Bus by Improved PSO by Huiyong Li, Hongxu Jiang, Bo Li, Miyi Duan

“…The algorithm dynamically judges particles’ state and introduces perturbation strategy for local aggregation, from which the local optimum is avoided and the ability of optimization-searching is activated. …”
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Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost by Ji XU, Zicheng XIN, Mo LAN, Wenhui LIN, Bo ZHANG, Qing LIU

“…Results and Discussions This study employs grid search (GS) and random search (RS) for hyperparameter optimization of the model to compare the results to BO hyperparameter optimization. …”
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Cathepsin G promotes arteriovenous fistula maturation by positively regulating the MMP2/MMP9 pathway by Lemei Hu, Changqing Zheng, Ying Kong, Zhiqing Luo, Fengzhang Huang, Zhigang Zhu, Quhuan Li, Ming Liang

“…Through the literature search and Pearson’s correlation analysis, the genes matrix metalloproteinase 2 (MMP2) and MMP9 were identified as potential downstream effectors of CTSG. …”
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Analysis and Design of a Context Adaptable SAD/MSE Architecture by Arvind Sudarsanam, Aravind Dasu, Karthik Vaithianathan

“…CRA can cater to variable pixel access patterns while reusing fetched pixels across search windows. Benefits of proposed architecture when compared to 15 other published architectures are adaptability, high throughput, and low latency at a cost of increased footprint, when ported on a Xilinx FPGA.…”
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The application of artificial intelligence models in predicting the risk of diabetic foot: a multicenter study by Yao Li, Siyuan Zhou, Bichen Ren, Shuai Ju, Xiaoyan Li, Wenqiang Li, Bingzhe Li, Yunmin Cai, Chunlei Chang, Lihong Huang, Zhihui Dong

“…By combining multiple models, we enhance result stability and clinical applicability compared to single-model approaches. Future work will focus on algorithm optimization, expanded datasets, and real-time monitoring integration to enable more precise, dynamic risk evaluation for improved DF prevention and early intervention.…”
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Temporal changes in blood biomarkers associated with sleep apnoea severity: a retrospective cohort study in Finland by Satu Strausz, Sanna Toppila-Salmi, Tuula Vasankari, Hanna M Ollila, Mira Hellen, Toni Ruoranen, Hanna-Riikka Kreivi, Tiina Mattila

“…This study aims to investigate the effect of continuous positive airway pressure (CPAP) therapy on laboratory values in patients with OSA.Methods A retrospective study was conducted using data from Finland’s largest hospital district, including 30 722 adult OSA patients treated between 2005 and 2020. A text search algorithm was implemented within the patient chart data to extract the apnoea-hypopnoea index (AHI) and the usage of CPAP therapy, along with identifying patients who had declined treatment. …”
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Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models by Tarik Pinaffo Almeida, Shahin Alipour Bonab, Mohammad Yazdani-Asrami

“…Sustainability in space is now the centre of attention for different space research organisations given the scale of current investment in planetary search activities, ambitious plans for habitation in future, and focus on electric space propulsion systems. …”
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Methodologies for estimating emissions from road transport and comparison with the inventory air emissions (INEMAR). The case of Pavia Province by Marilisa Moretti, Roberto De Lotto

“…The emission data resulting from the INEMAR algorithms are compared with the land use’s geographical data present on the open-source GIS cartography and on official data (ISTAT and Lombardy Region). …”
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Photovoltaic Power Forecasting with Weather Conditioned Attention Mechanism by Xuetao Jiang, Yuchun Gou, Meiyu Jiang, Lihui Luo, Qingguo Zhou

“…The proposed Conditional Decomposition (CD) algorithm searches for the decomposition algorithms and corresponding hyperparameters of the prediction model, aiming to achieve the optimal prediction performance. …”
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A Comparison of AutoML Hyperparameter Optimization Tools For Tabular Data by Prativa Pokhrel, Alina Lazar

“…Therefore, finding the optimal values of these hyperparameters is integral in improving the prediction accuracy of an ML algorithm and the model selection. However, manually searching for the best configuration is a tedious task, and many AutoML (Automated Machine Learning) frameworks have been proposed recently to help practitioners solve this problem. …”
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Building Energy Optimization Using an Improved Exponential Distribution Optimizer Based on Golden Sine Strategy Minimizing Energy Consumption Under Uncertainty by Mohammad Ali Karbasforoushha, Mohammad Khajehzadeh, Suraparb Keawsawasvong, Lapyote Prasittisopin, Thira Jearsiripongkul

“…The superiority of the IEDO is confirmed by comparing its performance with several well-known algorithms and previous studies in deterministic cases. …”
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ECONOMIC ASPECTS OF APPLICATION OF THE RUSSIAN BIOSIMILAR OMALIZUMAB IN PATIENTS WITH ATOPIC BRONCHIAL ASTHMA OF MODERATE TO SEVERE CLINICAL COURSES by V. S. Krysanova, E. D. Ermolaeva, T. N. Ermolaeva, M. V. Davydovskaya, K. A. Kokushkin

“…At the first stage, an information search in the available databases (Cochrane Library, MedLine, Embase, eLIBRARY) was carried out. …”
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Latent environment allocation of microbial community data. by Koichi Higashi, Shinya Suzuki, Shin Kurosawa, Hiroshi Mori, Ken Kurokawa

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Estimating comprehensive growth index for drip-irrigated spring maize in junggar basin via satellite imagery and machine learning by Mingjie Ma, Jinghua Zhao, Tingrui Yang, Feng Liu, Yingying Yuan, Shijiao Ma, Zikang Chang

“…Based on random forest (RF) and its optimized models (Bayesian-optimized RF and sparrow search algorithm-optimized RF), a CGI estimation model was proposed. …”
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EPICS: error-preserved and interpolation-corrected surrogate-assisted particle swarm optimization for complex optimization by Tongbang Jiang, Jeng-Shyang Pan, Shu-Chuan Chu, Chaoli Sun, Václav Snášel

“…Additionally, well-known complex functions are tested to validate the effectiveness of EPICS compared to state-of-the-art algorithms. Simulations indicate EPICS presents a promising searching ability for complex optimization, especially for high-dimensions. …”
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Least Square Regularized Regression for Multitask Learning by Yong-Li Xu, Di-Rong Chen, Han-Xiong Li

“…The algorithm consists of two steps of selecting the optimal Hilbert space and searching for the optimal function. …”
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Classifying the Clarity of Questions in CQA Networks: A Topic based Approach by Alireza Khabbazan, Ahmad Ali Abin

“…Generally, the presence of a question in users’ minds leads to reference to these sources of information. Users can search for the answer by entering a few keywords in search engines. …”
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Epigenetic age and fertility timeline: testing an epigenetic clock to forecast in vitro fertilization success rate by Davide Marinello, Marco Reschini, Giorgia Di Stefano, Giorgia Carullo, Maíra Casalechi, Letizia Tarantini, Benedetta Albetti, Valentina Bollati, Paola Viganò, Edgardo Somigliana, Letizia Li Piani

“…Abstract Background In the field of in vitro fertilization (IVF), the search for reliable success predictors is ongoing, with novel biomarkers gaining increasing attention. …”
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Evaluation of a Machine Learning Model Based on Laboratory Parameters for the Prediction of Influenza A and B in Chongqing, China: Multicenter Model Development and Validation Stud... by Weiwei Hu, Yulong Liu, Jian Dong, Xuelian Peng, Chunyan Yang, Honglin Wang, Yong Chen, Shan Shi, Jin Li

“…The CatBoost (CATB) algorithm was optimized via 5-fold cross-validation and random grid search using 24 routine blood parameters. …”
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