Supervised Machine Learning Models for Predicting SS304H Welding Properties Using TIG, Autogenous TIG, and A-TIG by Subhodwip Saha, Barun Haldar, Hillol Joardar, Santanu Das, Subrata Mondal, Srinivas Tadepalli

“…The machine learning (ML) models were constructed based on the data gathered from 50 experimental runs, considering eight key input variables: gas flow rate, torch angle, filler material, welding pass, flux application, root gap, arc gap, and heat input. …”
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Urban Recreational Space Heat-Emotion Distribution and Matching Pattern Based on Machine Learning: A Case Study of Guangzhou City by Wang Fuyuan, Zhang Zhiyu, Xie Yuanjing, Yang Xinyi, Sun Miao

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Expanding the European water Framework Directive indicators to address long-term climate change impacts on lakes using mechanistic lake models by L.M.V. Soares, M. Thouillot, V. Frossard, O. Desgué-Itier, C. Barouillet, Y. Baulaz, J.-C. Clément, I. Domaizon, J.-M. Dorioz, C. Goulon, J. Guillard, S. Jacquet, E. Réalis, V. Tran Khac, J.-P. Jenny

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Direct health facility financing and its influence on quality compliance in primary healthcare: evidence from Tanzania by Syabo M. Mwaisengela, Patricia A. Materu, Chrisogone J. German, Novatus Tesha, Raymond R. Kiwesa, Joseph C. Hokororo, Godfrey Kacholi, Henry A. Mollel, Stephen Kibusi, Mackfallen G. Anasel, Albino Kalolo, Ntuli A. Kapologwe, Eliudi S. Eliakimu, George M. Ruhago

“…Methods This study employed a before–after noncontrolled analysis of the quality scores by considering compliance of public primary health facilities with healthcare quality standards by using star rating assessment data before and after DHFF implementation. …”
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Application of Collective Intelligence of Artificial Bee Colony Algorithm in Optimization of Estimation and Zoning of Wind Erosion Intensity Using Geomorphological data (Case Study... by Mehdi Saghafi, Moohamadali Moodaresi

“…The experimental models depend on components rated in defined ranges, and then evaluate the amount of erosion. …”
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Predicting Online Shopping Behavior: Using Machine Learning and Google Analytics to Classify User Engagement by Dimitris C. Gkikas, Prokopis K. Theodoridis

“…User engagement metrics, including engaged sessions, average engagement time, bounce rate, and conversions, provide significant insights into online behavior. …”
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AN ALGORITHM FOR GENERATING WORD LISTS WITH A SPECIFIED BIGRAM DISTRIBUTION FOR KEYSTROKE DYNAMICS BIOMETRIC TEMPLATE REGISTRATION by Evgeniy V. Shklyar

“…This provides a false acceptance rate (FAR) and a false rejection rate (FRR) that meet regulatory requirements. …”
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FINE-TUNING RESNET50V2 WITH ADAMW AND ADAPTIVE TRANSFER LEARNING FOR SONGKET CLASSIFICATION IN LOMBOK by Erfan Wahyudi, Bahtiar Imran, Zaeniah, Surni Erniwati, Muh Nasirudin Karim, Zumratul Muahidin

“…During the training process, fine-tuning was applied to the last layer of ResNet50V2, and optimization was performed using AdamW with a learning rate of 0.0001. …”
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A Tile-Based Multi-Core Hardware Architecture for Lossless Image Compression and Decompression by Xufeng Li, Li Zhou, Yan Zhu

“…Lossless image compression plays a vital role in improving data storage and transmission efficiency without compromising data integrity. …”
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Enhanced Emotion-Aware Conversational Agent: Analyzing User Behavioral Status for Tailored Reponses in Chatbot Interactions by S. Abinaya, K. S. Ashwin, A. Sherly Alphonse

“…One component uses Bidirectional Encoder Representations from Transformers (BERT), a well-regarded model in natural language processing (NLP), achieving an 87.21% accuracy rate in detecting emotional cues from text inputs. …”
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Optimizing credit card fraud detection with random forests and SMOTE by P. Sundaravadivel, R. Augustian Isaac, D. Elangovan, D. KrishnaRaj, V. V. Lokesh Rahul, R. Raja

“…Subsequently, various techniques are employed to pre-process the unprocessed data and visually present the outcomes through the use of exploratory data analysis (EDA). …”
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A STUDY OF THE ACTIVITY OF SOCIAL ENTERPRISES IN BULGARIA by R. Martinov, E. Maslarova, K. Benkova

“…Here we describe the real picture of SE in Bulgaria, based on officially published data. In result of data analysis we make conclusions and estimations in order to stabilize these processes. …”
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Improving the quality of surgical morbidity and mortality conference using a standardized reporting and assessment tool: a validation study from a large academic medical center in... by Sarah M. Dermody, Marc C. Thorne, Robert J. Morrison

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Strong Rayleigh Wave Radiation Toward Southwest From Ionospheric Observations of the Elbistan Earthquake of the 2023 Kahramanmaras, Türkiye, Doublet by Mala S. Bagiya, Himangshu Paul, Shubham K. Rajewar, Vineet K. Gahalaut, Kosuke Heki

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Asymptotically Optimal Status Update Compression in Multi-Source System: Age–Distortion Tradeoff by Jun Li, Wenyi Zhang

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Evaluating the European transportation sector via energy and climate change mitigation perspectives by Fazıl Gökgöz, Engin Yalçın

“…However, it is one of the most energy intensive processes, and its negative environmental consequences are expected to worsen with time. …”
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Sensitivity Analysis of Factors Influencing Coal Prices in China by Jingye Lyu, Chong Li, Wenwen Zhou, Jinsuo Zhang

“…The GPR–Sobol model effectively handles nonlinear relationships, enabling an in-depth exploration of key factors affecting price volatility and quantifying their impacts, thus overcoming the limitations of traditional econometric models in nonlinear data processing. The results indicate that economic growth, energy prices, interest rates, exchange rates, and uncertainty factors exhibit high sensitivity and significantly impact coal price fluctuations in China. …”
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Statistical study of the foreign exchange market environment by V. N. Saline, O. Yu. Sitnikova, M. V. Vakhrameeva

“…The indicators of the currencies turnover, its detailed structure, currency exchange rates, their fluctuations, and the business activity indicators are calculated fully or have the necessary reliable information for their assessment.…”
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Constraints on subglacial melt fluxes from observations of active subglacial lake recharge by George Malczyk, Noel Gourmelen, Mauro Werder, Martin Wearing, Dan Goldberg

“…Lake Cook E2 displays recharge rates far exceeding predictions, indicating that processes are taking place that are currently unaccounted for. …”
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CyclicAugment: Optimized Medical Image Analysis via Adaptive Augmentation Intensity by Min-Jun Kim, Jung-Woo Chae, Hyun-Chong Cho

“…This process ensures stable training through an adaptive learning rate. …”
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