Enhancing Network Security: A Study on Classification Models for Intrusion Detection Systems by Abeer Abd Alhameed Mahmood, Azhar A. Hadi, Wasan Hashim Al-Masoody

“…This study leverages AI methods to develop nine classification models using supervised machine learning classifiers. …”
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End-to-end neural automatic speech recognition system for low resource languages by Sami Dhahbi, Nasir Saleem, Sami Bourouis, Mouhebeddine Berrima, Elena Verdú

“…The rising popularity of end-to-end (E2E) automatic speech recognition (ASR) systems can be attributed to their ability to learn complex speech patterns directly from raw data, eliminating the need for intricate feature extraction pipelines and handcrafted language models. …”
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Enhancing Fake Review Detection Using Linguistic Exaggeration, BERT Embeddings, and Fuzzy Logic by Mohammed Ennaouri, Ahmed Zellou

“…The core objective of this work is to develop a hybrid model that combines interpretable handcrafted linguistic cues with deep semantic features for more accurate, robust, and accurate fake review detection. …”
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One-Dimensional Deep Residual Network with Aggregated Transformations for Internet of Things (IoT)-Enabled Human Activity Recognition in an Uncontrolled Environment by Sakorn Mekruksavanich, Anuchit Jitpattanakul

“…This research introduces an innovative methodology employing a modified deep residual network, called 1D-ResNeXt, for IoT-enabled HAR in uncontrolled environments. We developed a comprehensive network that utilizes feature fusion and a multi-kernel block approach. …”
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An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…The authors of the articles used normalization as a feature scaling method in 18 articles, while standardization was used in 3 articles. …”
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Predicting anemia management in dialysis patients using open-source machine learning libraries by Takahiro Inoue, Norio Hanafusa, Yuki Kawaguchi, Ken Tsuchiya

“…These models closely mirrored actual prescribing patterns, suggesting feasibility for clinical integration. …”
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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting by Hui-Dong Yin, Yi-Yang Li

“…This study addresses the forecasting of soybean oil prices in China’s wholesale markets by developing a Bayesian-optimized Multi-Task Gaussian Process Regression (MTGPR) framework. …”
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Improving the Reliability of Biometric Authentication Processes Using a Model for Reducing Data Drift by Vladimir Zh. Kuklin, Naur Z. Ivanov, Alexander N. Muranov, Islam A. Alexandrov, Elena Yu. Linskaya

“…In addition, the authors propose to analyze correlations between information features instead of the features themselves. To reduce the influence of data drift, the authors suggest using adaptive learning with a teacher and reinforcement, which helps to work even with small and unrepresentative data samples. …”
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Predicting dementia from primary care records: A systematic review and meta-analysis. by Elizabeth Ford, Nicholas Greenslade, Priya Paudyal, Stephen Bremner, Helen E Smith, Sube Banerjee, Shanu Sadhwani, Philip Rooney, Seb Oliver, Jackie Cassell

“…Variables in the primary care record may indicate risk of developing dementia, and could be combined in a predictive model to help find patients who are missing a diagnosis. …”
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Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas by Yue Hu, Xin Cao, Hongyi Chen, Daoying Geng, Kun Lv

“…The biological interpretability of selected features reflects distinct neuroplasticity patterns between LGGs and HGGs, advancing understanding of glioma-network interactions.…”
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Design of an intelligent optimization system for high-altitude photovoltaic power plant output power prediction and enhancement using GVSAO-CNN-BiGRU-Attention by Shuai Yuan, Hui Zhou, Kai Zhao

“…The CNN extracts spatial features, while the BiGRU enhances temporal dependency modeling, effectively capturing short- and long-term patterns. …”
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Geospatial analysis of sports tourism resources in China's urban clusters: a case study of the Sichuan-Chongqing region utilizing GIS and the geographic detector by Xuefeng Tan, Zhiheng Liu, Lizhen Shi, Xiaoling Huang

“…IntroductionThis study aims to elucidate the temporal and spatial distribution patterns of sports tourism resources within the Sichuan-Chongqing Urban Agglomeration, examining how these distributions reflect the developmental pathways of urban regions. …”
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Research on the Correlation Between Spatial Layout Characteristics and Geographical Conditions for Ethnic Minority Rural Settlements by Xi Luo, Jian Zhang

“…It not only reveals universal patterns of how physical-geographic environments influence the planar and spatial features of settlements, but also validates the logical coherence of investigating layout characteristics from both planar and spatial perspectives. …”
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From LIKE/LOVE to habitual: the case of Mainland East and Southeast Asian languages by Fang Hongmei

“…The common human experience that if one likes/loves doing something, one tends to do it frequently renders it highly unlikely that this grammaticalization pattern is an areal feature confined to Mainland East and Southeast Asia.…”
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Simulating Complex Urban Behaviours With AI: Incorporating Improved Intelligent Agents in Urban Simulation Models by Solon Solomou, Ulysses Sengupta

“…Artificial intelligence is a transformational development across multiple research areas within urban planning. …”
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Designing for Engagement in Primary Health Education Through Digital Game-Based Learning: Cross-National Behavioral Evidence from the iLearn4Health Platform by Evgenia Gkintoni, Emmanuella Magriplis, Fedra Vantaraki, Charitini-Maria Skoulidi, Panagiotis Anastassopoulos, Alexandra Cornea, Begoña Inchaurraga, Jaione Santurtun, Ainhoa de la Cruz Mancha, George Giorgakis, Kleri Kouppas, Stella Timotheou, Maria Jose Moreno Juan, Miren Muñagorri, Marta Harasiuk, Alfredo Garmendia Lopez, Efi Skoulidi, Apostolos Vantarakis

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RF-PSignal: The Smart Home Gesture Recognition System Based on Channel-Wise Topology and Self-Adaptive Attention by Xiaohang Zhang, Chunhong Yue, Yajun Zhang, Kun Liang, Yanxiang Li

“…Unlike most existing studies that rely on time-series signals for feature extraction and pattern recognition, the system achieves outstanding performance and computational efficiency through a time-series-to-image transformation algorithm and lightweight model design. …”
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Genome-wide analysis of CHYR gene family and BnA03.CHYR.1 functional verification under salt stress in Brassica napus L. by Yanli Guo, Qingxiao Ren, Manman Song, Xiangxiang Zhang, Heping Wan, Fei Liu

“…Each BnCHYR group shared similar patterns in the distribution of conserved domains. …”
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Optimizing Public Spaces for Age-Friendly Living: Renovation Strategies for 1980s Residential Communities in Hangzhou, China by Min Gong, Ning Wang, Yubei Chu, Yiyao Wu, Jiadi Huang, Jing Wu

“…Semi-structured interviews with elderly residents identify key concerns and establish a preliminary evaluation framework, while a Likert-scale questionnaire quantifies the satisfaction with age-friendly features across four communities. The assessment reveals that key age-friendliness issues, including poor traffic safety, dispersed activity spaces, and insufficiently adapted facilities, are closely linked to the linear usage patterns within the spatial framework of the grid layouts. …”
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Interpretable model based on MRI radiomics to predict the expression of Ki-67 in breast cancer by Li Zhang, Qinglin Du, Mengyi Shen, Xin He, Dingyi Zhang, Xiaohua Huang

“…The logistic regression classifier was used to develop the Radiomics model. The clinical imaging and radiomics features were combined to form a Combined model. …”
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