Optimization of multi-element geochemical anomaly recognition in the Takht-e Soleyman area of northwestern Iran using swarm-intelligence support vector machine by Hamid Sabbaghi, Seyed Hassan Tabatabaei, Nader Fathianpour

“…The application of optimized machine learning algorithms is critical for detecting undiscovered deposits under barren cover. …”
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A Multi-Strategy Improved Horned Lizard Optimization Algorithm and Its Application in Engineering Optimization by Yancang Li, Jinfan Zhang, Zidong Jin, Weitao Qiao

“…Experimental validation on 15 benchmark functions and the CEC2021 test set demonstrates the superior performance of MSHLOA, with an overall effectiveness improvement of 53.35% compared to standard HLOA. …”
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A Survey on Video Big Data Analytics: Architecture, Technologies, and Open Research Challenges by Thi-Thu-Trang Do, Quyet-Thang Huynh, Kyungbaek Kim, Van-Quyet Nguyen

“…In addition, the study provides a functional taxonomy of core video processing tasks, including object detection, anomaly recognition, and semantic retrieval, and maps these tasks to real-world applications. …”
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Technological Evolvement in AAC Modalities to Foster Communications of Verbally Challenged ASD Children: A Systematic Review by Walia Farzana, Farhana Sarker, Tom Chau, Khondaker A. Mamun

“…This systematic review provides an outline of the paradigm shift in AAC modalities from PECS to Artificial Intelligence (AI), Machine Learning (ML), and Augmented Reality (AR) based applications. …”
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Daily Crude Oil Prices Forecasting Using a Novel Hybrid Time Series Technique by Hasnain Iftikhar, Moiz Qureshi, Paulo Canas Rodrigues, Muhammad Usman Iftikhar, Javier Linkolk Lopez-Gonzales, Hasnain Iftikhar

“…On the other hand, the short-run random part is modeled and forecasted using four benchmark time series (linear and non-linear AR, ARMA, ESM) and four machine learning (Neural network autoregressive, Random forest, support vector regression with polynomial and radial basal functions) models. …”
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Cost-Efficient RSSI-Based Indoor Proximity Positioning, for Large/Complex Museum Exhibition Spaces by Panos I. Philippopoulos, Kostas N. Koutrakis, Efstathios D. Tsafaras, Evangelia G. Papadopoulou, Dimitrios Sigalas, Nikolaos D. Tselikas, Stefanos Ougiaroglou, Costas Vassilakis

“…Wearable visitor BLE beacons provided cell-level location determined by a prototype tool (VTT), integrating in its architecture different functionalities: raw RSSI data smoothing with Kalman filters, hybrid positioning provision, temporal methods for visitor cell prediction, spatial filtering, and prediction based on popular machine learning classifiers. …”
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Anomaly Detection Method With Rebar Response Suppression for Microwave Ground Penetrating Radar Pavement Inspection by Natsuki Akiyama, Takahide Morooka, Katsuyoshi Suzuki, Shouhei Kidera

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Association between red blood cell distribution width-to-albumin ratio and in-hospital mortality in patients with congestive heart failure combined with chronic kidney disease by Lie-jun Qian, Lu-xi Hong

“…Mediation analysis was used to explore the function of RAR-related feature on their association. …”
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Research progress on the application of digital technology in the diagnosis and treatment of tooth wear by HE Yi, WANG Dingjie, XIAO Yuhong

“…Tooth wear not only affects the oral function and esthetics of patients but may also lead to tooth sensitivity, temporomandibular joint diseases, and other related complications. …”
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Integrated MPPT and bidirectional DC DC converter with reduced switch multilevel inverters for electric vehicles applications by K. Dhineshkumar, N. Vengadachalam, Suresh Muthusamy, Baseem Khan

“…Hence, in this work, a Single Ended Primary Inductance Converter (SEPIC) Integrated Isolated Flyback Converter (SIIFC) and Machine Learning Radial Basis Function Neural Network Maximum Power Point Tracking (ML RBFNN MPPT) are used to maximize PV power extraction. …”
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SAG’s Overload Forecasting Using a CNN Physical Informed Approach by Rodrigo Hermosilla, Carlos Valle, Héctor Allende, Claudio Aguilar, Erich Lucic

“…The results confirm the importance of integrating physics-based knowledge into machine learning models, improving predictive performance, and offering a more interpretable and reliable tool for mill operators. …”
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Predicting water-based drilling fluid filtrate volume in close to real time from routine fluid property measurements by Shadfar Davoodi, Mohammed Ba Geri, David A. Wood, Mohammed Al-Shargabi, Mohammad Mehrad, Alireza Soleimanian

“…This study adapts machine and deep learning (ML/DL) models to predict FV in almost real-time based on more easily measured fluid properties. …”
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Deep Multi-Component Neural Network Architecture by Chafik Boulealam, Hajar Filali, Jamal Riffi, Adnane Mohamed Mahraz, Hamid Tairi

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Multi-Domain Data Integration for Plasma Diagnostics in Semiconductor Manufacturing Using Tri-CycleGAN by Minji Kang, Sung Kyu Jang, Jihun Kim, Seongho Kim, Changmin Kim, Hyo-Chang Lee, Wooseok Kang, Min Sup Choi, Hyeongkeun Kim, Hyeong-U Kim

“…The model incorporates self-attention mechanisms to address temporal misalignments and a direct loss function to preserve fine-grained features, further enhancing data accuracy. …”
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Markers of early post-stroke cognitive impairment by A. M. Tynterova, E. R. Barantsevich

“…In order to verify the markers, anamnestic characteristics were assessed, cognitive-functional indicators (according to the scales of the National Institutes of Health, MoCA, Bartel, Rankin, IQCODE questionnaire, additional scales to assess praxis, semantic aphasia, perception and executive function), data of neuroimaging studies. …”
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Neuroprotective Effect of <i>Ixeris dentata</i> Extract on Trimethyltin-Induced Memory Impairment in Rats by Minsook Ye, Daehyuk Jang, Sun-young Lee, Kyu-Ri Kim, Sung Ja Rhie, Jin Kyung Oh, Insop Shim

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Infrastructure support for software import substitution by V. K. Grigoryev, A. A. Biryukova, M. A. Ovchinnikov

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Resilience in the Internet of Medical Things: A Review and Case Study by Vikas Tomer, Sachin Sharma, Mark Davis

“…Finally, we provide a proposed methodology that elaborates how distributed functionality can be achieved during these failures using machine learning, software-defined networks, and microservices technologies.…”
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Multi-Strategy Improved Harris Hawk Optimization Algorithm and Its Application in Path Planning by Chaoli Tang, Wenyan Li, Tao Han, Lu Yu, Tao Cui

“…The experimental results of the comparison of the test functions show that the MIHHO algorithm is ranked first in terms of performance, with significant improvements in optimization seeking ability, convergence speed, and stability. …”
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Multi-Degree Reduction of Said–Ball Curves and Engineering Design Using Multi-Strategy Enhanced Coati Optimization Algorithm by Feng Zou, Xia Wang, Weilin Zhang, Qingshui Shi, Huogen Yang

“…The algorithm exhibits superior behavior on the IEEE CEC2017 and CEC2022 benchmark functions and demonstrates strong practical utility across four engineering optimization problems with constraints. …”
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