University Pharmacy Clinic: Preventing Errors and Enhancing Lives Through Expert Medication Management by Alesha Smith, Dhanya Hariharan Nair, Emma R. Smith, Tara F. Wheeler, Lauren E. Smith, Bruce R. Russell, Carlo A. Marra

“…Using the DOCUMENT classification system, pharmacists identified 754 MRPs and issued 836 recommendations, primarily related to medication adjustments and monitoring. …”
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Enhancing power transformer health assessment through dimensional reduction and ensemble approaches in Dissolved Gas Analysis by Abdelmoumene Hechifa, Saurabh Dutta, Abdelaziz Lakehal, Hazlee Azil Illias, Arnaud Nanfak, Chouaib Labiod

“…The long short‐term memory algorithm was used to create synthetic data to solve the issue of data imbalance. A dataset of 683 samples is used in the study for training, testing, validation, and comparison with current techniques. …”
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GF-1 WFV satellite images based forest cover mapping in China supported by open land use/cover datasets by Xueli Peng, Guojin He, Guizhou Wang, Ranyu Yin, Ruiqing Yang, Yan Peng, Tengfei Long, Zhaoming Zhang, Yanlin Chen, Jianping Wang

“…For this purpose, we propose a forest classification framework based on weakly supervised deep learning and prior knowledge from open datasets. …”
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Research on the Timing of Replacing Worn Milling Cutters by Using Wear Transition Percentage Constructed Based on Spindle Current Clutter Signals by Zhihao Liu, Min Wang, Zhishan Wang, Tao Zan, Xiangsheng Gao, Peng Gao

“…This undoubtedly increases the complexity of operations, making it difficult to apply in practical production. To address this issue, a novel method based on the wear transition percentage has been proposed to determine the optimal timing of replacing worn tools. …”
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Overcoming data scarcity in life-threatening arrhythmia detection through transfer learning by Giuliana Monachino, Beatrice Zanchi, Michael Wand, Giulio Conte, Athina Tzovara, Francesca Dalia Faraci

“…We address the data-scarcity issue by applying a transfer learning approach. The deep-learning model is pre-trained on a massive dataset (72’952 recordings) for rhythm classification and then fine-tuned on the target dataset with LTA events (102 recordings). …”
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Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining by Yuxin You, Zhen Liu, Xiangchao Wen, Yongtao Zhang, Wei Ai

“…However, GNNs are still deficient in generalizing to diverse graph data. Aiming to this issue, large language models (LLMs) could provide new solutions for graph mining tasks with their superior semantic understanding. …”
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Computational Strategy for Analyzing Effective Properties of Random Composites—Part I: Conductivity by Vladimir Mityushev, Piotr Drygaś, Simon Gluzman, Nurlan Nauryzbayev, Karlygash Nurtazina

“…The method leverages structural sums and enables a more refined classification of different classes of composites, which was unattainable using previous approaches. …”
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An Intelligent Fault Diagnosis Model for Rolling Bearings Based on IGTO-Optimized VMD and LSTM Networks by Xianglong Luo, Fengrong Yu, Jing Qian, Biao An, Nengpeng Duan

“…To address the issue of rolling bearing fault diagnosis, this paper proposes a novel model combining the Improved Gorilla Troop Optimization (IGTO) algorithm, Variational Mode Decomposition (VMD), Permutation Entropy (PE), and Long Short-Term Memory (LSTM) networks. …”
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Comparison of Different Machine Learning Algorithms to Classify Epilepsy Seizure from EEG Signals by Pankaj Kunekar, Chanchal Kumawat, Vaishnavi Lande, Sushant Lokhande, Ram Mandhana, Malhar Kshirsagar

“…These EEG data are often complex signals containing noise and artifacts. Accurate classification of epileptic seizures is a major challenge, as manual seizure identification is a laborious and challenging endeavor for neurologists. …”
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Potato Plant Variety Identification Study Based on Improved Swin Transformer by Xue Xing, Chengzhong Liu, Junying Han, Quan Feng, Enfang Qi, Yaying Qu, Baixiong Ma

“…Thus, this paper introduces an enhanced Swin Transformer classification model named MSR-SwinT (Multi-scale residual Swin Transformer). …”
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Energy Poverty in Poland: Drivers, Measurement and National Policy by Justyna Przywojska, Aldona Podgórniak-Krzykacz, Magdalena Kalisiak-Mędelska, Izabela Rącka

“…In the theoretical part of the paper, we will review the literature related to the definition of the concept of energy poverty and the classification and measurement methodology of this phenomenon. …”
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Data Augmentation Techniques for fMRI Data: A Technical Survey by Valentina Sanchez, Cicek Guven, Gonzalo Napoles, Marie Safar Postma

“…The application of machine learning to fMRI data classification, prediction, and analysis tasks has experienced rapid growth in recent years. …”
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A novel similarity-constrained feature selection method for epilepsy detection via EEG signals by Chunlei Shi, Jun Gao, Jian Yu, Lingzhi Zhao, Faxian Jia

“…Experimental validation was conducted using the Bonn EEG dataset, with benchmark tests revealing the proposed framework's superior feature consistency and classification accuracy compared to conventional approaches.…”
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Mitigating Catastrophic Forgetting in Pest Detection Through Adaptive Response Distillation by Hongjun Zhang, Zhendong Yin, Dasen Li, Yanlong Zhao

“…ARD incorporates an adaptive response filtering strategy that dynamically adjusts the weights of classification and regression responses based on the significance of the information. …”
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A Bearing Fault Diagnosis Method Combining Multi-Source Information and Multi-Domain Information Fusion by Tao Sui, Yixiang Feng, Sitian Sui, Xueran Xie, Hui Li, Xiuzhi Liu

“…These methods often fail to provide comprehensive and stable fault information, thereby affecting the diagnostic performance. To address this issue, this paper introduces a multi-source and multi-domain information fusion method for the fault diagnosis (M2IFD) of bearings, integrating an attention mechanism to enhance the diagnosis process. …”
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Optimizing Energy Efficiency in Cloud Data Centers: A Reinforcement Learning-Based Virtual Machine Placement Strategy by Abdelhadi Amahrouch, Youssef Saadi, Said El Kafhali

“…Cloud computing faces growing challenges in energy consumption due to the increasing demand for services and resource usage in data centers. To address this issue, we propose a novel energy-efficient virtual machine (VM) placement strategy that integrates reinforcement learning (Q-learning), a Firefly optimization algorithm, and a VM sensitivity classification model based on random forest and self-organizing map. …”
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Implementation of an Image Tampering Detection System with a CMOS Image Sensor PUF and OP-TEE by Tatsuya Oyama, Manami Hagizaki, Shunsuke Okura, Takeshi Fujino

“…Since image recognition systems use image data acquired by image sensors for analysis by AI technology, an important security issue is guaranteeing the authenticity of data transmitted from image sensors to successfully perform inference using AI. …”
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Physical Characterization of Coastal Macrowaste: A Comparison Between Cities in Central Western Africa (Libreville-Lome) by Leslie Bertha Mouloungui Kussu, Dimitri Essono Milla, Réne Casimir Zoo Eyindanga, Messan Vimenyo

“…The sustainability of coastal environments is becoming a major issue in the face of constantly changing urban populations correlated with anthropogenic activities. …”
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An accurate DNA and RNA based targeted sequencing assay for clinical detection of gene fusions in solid tumors by Gang Ji, Qianlan Yao, Min Ren, Qianming Bai, Xiaoli Zhu, Xiaoyan Zhou

“…Abstract Gene fusions are one of the most important molecular biomarkers for tumor diagnosis, classification and targeted therapy. How to accurately detect them is a key issue in clinical work. …”
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Predictive models for road traffic sign: Retroreflectivity status, retroreflectivity coefficient, and lifespan by Roxan Saleh, Hasan Fleyeh

“…This study addresses the critical safety issue of declining retroreflectivity values of road traffic signs, which can lead to unsafe driving conditions, especially at night. …”
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