Artificial Intelligence—What to Expect From Machine Learning and Deep Learning in Hernia Surgery by Robert Vogel, Björn Mück

“…The term AI incorporates various technologies including ML, Neural Networks (NN), and DL. Classical ML algorithms depend on structured, labeled data for predictions, requiring significant human oversight. …”
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AI Methods for New Psychoactive Substance (NPS) Design and Analysis by Enrico Greco

“…The review concludes with a discussion of the benefits and limitations of AI in this domain and outlines future directions for research at the intersection of AI, analytical chemistry, and drug policy.…”
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Intelligent Beam-Hopping-Based Grant-Free Random Access in Secure IoT-Oriented Satellite Networks by Zhongliang Deng, Yicheng Liao

“…This research presents an intelligent beam-hopping-based grant-free random access (GFRA) architecture designed for secure Internet of Things (IoT) communications in Low Earth Orbit (LEO) satellite networks. …”
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A monitoring network SIMNet for weld penetration status based on multimodal fusion by Qi Jiang, Yiming Wang, Yan Kong, Yu Liu, Ce Ma

“…Abstract This paper primarily addresses the challenges posed by the difficulties in directly measuring the fusion width at the bottom of the weld and in real-time monitoring of the penetration state during the groove welding process. It focuses on the research of online penetration state monitoring technology, which utilizes multi-modal signals such as sound and image during the welding process. …”
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A New Signal Processing Method for Time-of-Flight and Center Frequency Estimation by Olgirdas Tumšys

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Spatial heterogeneity of cutaneous blood flow respiratory-related oscillations quantified via laser speckle contrast imaging. by Irina Mizeva, Elena Potapova, Viktor Dremin, Igor Kozlov, Andrey Dunaev

“…Earlier, we described the spatial heterogeneity of around 0.3 Hz oscillations and this motivated us to continue the research to find the conditions for the occurrence of spatial phase synchronization. …”
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Evaluation of the ecological niche model approach in spatial conservation prioritization. by Fumiko Ishihama, Akio Takenaka, Hiroyuki Yokomizo, Taku Kadoya

“…We evaluated three ENM algorithms (GLM, GAM, and random forests). We used virtual community data generated by simulation for the evaluation. …”
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Leveraging AI-Generated Virtual Speakers to Enhance Multilingual E-Learning Experiences by Sergio Miranda, Rosa Vegliante

“…This study concludes that AI-generated virtual speakers offer a promising approach to overcoming linguistic barriers in e-learning, providing personalized and adaptive learning experiences. Future research should focus on addressing ethical considerations, such as data privacy and algorithmic bias, and expanding the user base to include more languages and proficiency levels.…”
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A review of machine learning approaches for the discovery of thermoelectric materials by Övgü C. Yelgel, Celal Yelgel

“…Recent progress in computational infrastructure, along with the advent of data-centric approaches such as machine learning (ML), has transformed the landscape of thermoelectric research. ML algorithms, trained on comprehensive datasets including experimental measurements, crystallographic data, and density functional theory (DFT) results can predict key TE metrics, such as the figure of merit (ZT), with remarkable speed and accuracy. …”
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Gender and racial bias issues in a commercial "tone of voice" analysis system. by Nicole R Holliday, Paul E Reed

“…Social Feedback Speech Technologies (SFST) are programs and devices, often "AI"-powered, that claim to provide users with feedback about how their speech sounds to other humans. To date, academic research has not focused on how such systems perform for a variety of speakers. …”
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MiR-124 Radiosensitizes human colorectal cancer cells by targeting PRRX1. by Yuqin Zhang, Lin Zheng, Jing Huang, Fei Gao, Xiaoshan Lin, Lian He, Dan Li, Zhijun Li, Yi Ding, Longhua Chen

“…MicroRNAs (miRNAs) are involved in essential biological activities, including chemoresistance and radioresistance. Several research studies have indicated that miRNA played an important role in sensitizing cellular response to ionizing radiation (IR). …”
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Establishment of an IoT-based smart factory and data analysis model for the quality management of SMEs die-casting companies in Korea by Sangwoo Park, Kim Changgyun, Sekyoung Youm

“…In this research, an Internet of things–based smart factory was established for a die-casting company that produces automobile parts, and the effect of casting parameters on quality was analyzed using data collected from the system. …”
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Automated Tomato Leaf Disease Detection Using Image Processing: An SVM-Based Approach with GLCM and SIFT Features by Rashid Khan, Nasir Ud Din, Asim Zaman, Bingding Huang

“…Our findings suggest that this framework can significantly benefit tomato cultivation by enabling timely and precise disease management. Future research can explore integrating advanced deep learning algorithms to enhance the system’s accuracy in this multiclass classification challenge.…”
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Prediction of formation pressure in underground gas storage based on data-driven method by SUI Gulei, FU Yujiang, ZHU Hongxiang, LI Zunzhao, WANG Xiaolin

“…The supervised learning model of formation pressure forecasting is established by three kinds of machine learning algorithms including extreme gradient boosting (XGBoost), support vector regression (SVR), and long short-term memory network (LSTM). …”
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Unveiling Hate Speech Dynamics: An Examination of Discourse Targeting the Spanish Meteorological Agency (AEMET) by Sergio Arce-García, Virginia Martin-Jiménez, Leticia Rodríguez-Fernández

“…Our research reveals a troubling reality, with around 25% of the messages collected displaying some degree of hostility towards AEMET, its staff, and its scientific work. …”
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Evaluating the Efficacy of Adjuvant Radiotherapy in the Management of Advanced Oral Cancer Cases by Radhika Thakkar, M. Rama Nalini, Rohit K. Jha, Mudita Chaturvedi, Raja S. Prathigudupu, S. Hemavathy, B S Dayanithi

“…To improve treatment algorithms and investigate cutting-edge therapeutic techniques for this difficult condition, further research is necessary.…”
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Impact of massive open online courses in higher education using machine learning and decision based fuzzy frank power aggregation operators models by Feng Ye

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Scenario-Driven Evaluation of Autonomous Agents: Integrating Large Language Model for UAV Mission Reliability by Anıl Sezgin

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Stroke Risk Classification Using the Ensemble Learning Method of XGBoost and Random Forest by Gullam Almuzadid, Egia Rosi Subhiyakto

“…This study proposes a stroke risk classification model using ensemble learning that combines Random Forest and XGBoost algorithms. A Kaggle dataset with 5110 samples (249 stroke, 4861 non-stroke) presented significant class imbalance. …”
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Exploration and Construction of Personalized Customization Mode in Modern Fashion Design by Sun Huaiqun

“…The article focuses on constructing a personalized customization implementation path based on big data analysis, artificial intelligence algorithms, and online interaction platforms, covering key links such as demand analysis, virtual fitting, and on-demand production. …”
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