Predicting land use and land cover changes for sustainable land management using CA-Markov modelling and GIS techniques by Zainab Tahir, Muhammad Haseeb, Syed Amer Mahmood, Saira Batool, M. Abdullah-Al-Wadud, Sajid Ullah, Aqil Tariq

“…Abstract This study addresses the significant issue of rapid land use and land cover (LULC) changes in Lahore District, which is critical for supporting ecological management and sustainable land-use planning. …”
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Unboxing Tree ensembles for interpretability: A hierarchical visualization tool and a multivariate optimal re-built tree by Giulia Di Teodoro, Marta Monaci, Laura Palagi

“…The interpretability of models has become a crucial issue in Machine Learning because of algorithmic decisions' growing impact on real-world applications. …”
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A Multi-Scheme Comparison Framework for Ultra-Fast Charging Stations with Active Load Management and Energy Storage Under Grid Capacity Constraints by Qingyu Yin, Lili Li, Jian Zhang, Xiaonan Liu, Boqiang Ren

“…Active load management (ALM) and battery energy storage systems (BESSs) are currently two primary countermeasures to address this issue. ALM allows UFC stations to install larger-capacity transformers by utilizing valley capacity margins to meet the peak charging demand during grid valley periods, while BESSs rely more on energy storage batteries to solve the gap between the transformer capacity and charging demand This paper proposes a four-quadrant classification method and defines four types of schemes for UFC stations to address grid capacity constraints: (1) ALM with a minimal BESS (ALM-Smin), (2) ALM with a maximal BESS (ALM-Smax), (3) passive load management (PLM) with a minimal BESS (PLM-Smin), and (4) PLM with a maximal BESS (PLM-Smax). …”
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Renovation of Typological Clusters with Building-Integrated Photovoltaic Systems by Irene Del Hierro López, Nuria Martín-Chivelet, Jesús Polo, Lorenzo Olivieri

“…To enhance energy production and tackle this issue from a distributed energy perspective, building-integrated photovoltaic (BIPV) systems emerge as a key solution. …”
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Microbial pattern and antibiotic resistance in Ardabil city hospitals by Negar Ahvar, Mohammad Hassan Pourrashid, Jafar Mohammadshahi, Mohammad Bahadoram, Firouz Amani

“…Introduction: Antibiotic arbitrary use by increasing resistance changed to a growing issue in the 21st century and its optimal use in hospital could be essential for reducing health system costs and drug side effects. …”
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A two-stage algorithm based on greedy ant colony optimization for travelling thief problem by Zheng Zhang, Xiao-Yun Xia, Zi-Jia Wang, You-Zhen Jin, Wei-Zhi Liao, Jun Zhang

“…In the first-stage of route planning, conventional algorithms solely on distance minimization and ignore the attributes of items. To address this issue, an item classification algorithm (ICA) is proposed to compute an optimized combination of items in advance based on their profits and distribution patterns. …”
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Empathetic Deep Learning: Transferring Adult Speech Emotion Models to Children With Gender-Specific Adaptations Using Neural Embeddings by Elina Lesyk, Tomás Arias-Vergara, Elmar Nöth, Andreas Maier, Juan Rafael Orozco-Arroyave, Paula Andrea Perez-Toro

“…In this paper, we investigate the relationship between adults and children for the task of automatic speech emotion recognition, focusing on the critical issue of limited datasets for children’s emotions. …”
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Annual vegetation maps in the Qinghai–Tibet Plateau (QTP) from 2000 to 2022 based on MODIS series satellite imagery by G. Zhou, H. Ren, L. Zhang, X. Lv, M. Zhou

“…Currently, land cover and surface vegetation data are typically obtained using traditional classification methods for each period's product based on remote sensing information. …”
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Detection and recognition of unsafe behaviors of underground coal miners based on deep learning by GUO Xiaoyuan, ZHU Meiqiang, TIAN Jun, ZHU Beibei

“…Under complex industrial and mining conditions, the ST-GCN model demonstrated high accuracy and recall rates, enabling precise classification of miners' behaviors, with an inference speed of 31 fps, thereby meeting underground monitoring requirements.…”
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A simple monocular depth estimation network for balancing complexity and accuracy by Xuanxuan Liu, Shuai Tang, Mengdie Feng, Xueqi Guo, Yanru Zhang, Yan Wang

“…Meanwhile, we propose a Wavelet Attention Transformer (WAT) module to achieve pixel-level precise classification of images. Furthermore, we also conduct extensive experiments on two widely recognized depth estimation benchmark datasets: NYU and KITTI. …”
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Sonar-based object detection for autonomous underwater vehicles in marine environments by Zhen Wang, Zhen Wang, Jianxin Guo, Shanwen Zhang, Yucheng Zhang

“…Given the common presence of shadow interference in sonar images, we introduce the discriminative feature extraction module (DFEM) to suppress redundant features in the shadow regions and emphasize the object region features. To tackle the issue of object scale variation, we designed a multi-scale feature refinement module (MFRM) to improve both classification accuracy and positional precision by refining the feature representations of objects at different scales. …”
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Automatic Paddy Planthopper Detection and Counting Using Faster R-CNN by Siti Khairunniza-Bejo, Mohd Firdaus Ibrahim, Marsyita Hanafi, Mahirah Jahari, Fathinul Syahir Ahmad Saad, Mohammad Aufa Mhd Bookeri

“…This research effectively resolved the issue of low- to medium-density samples by achieving very precise and rapid detection and counting.…”
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EHMQA-GPT: A Knowledge Augmented Large Language Model for Personalized Elderly Health Management by Shaofu Lin, Yidan Duan, Tao Zhou, Xiliang Liu, Jiaojiao Wang

“…To help alleviate this issue, this paper introduces EHMQA-GPT, the first domain-specific LLM tailored for non-specialist users (caregivers, elderly individuals, family members, and community health workers) for low-risk, daily health consultations in real-world scenarios. …”
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Height Measurement Method for Meter-Wave Multiple Input Multiple Output Radar Based on Transmitted Signals and Receive Filter Design by Cong Qin, Qin Zhang, Guimei Zheng, Xiaolong Fu, He Zheng

“…Finally, the proposed height measurement algorithm is compared with the Generalized Multiple Signal Classification (GMUSIC) and Maximum Likelihood (ML) height measurement algorithms. …”
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Relationship between physical activity levels and body composition of candidates for bariatric surgery: a pilot study by Thaiana Marcelino Lima, Wlaldemir Roberto dos Santos, Fabiano Ferreira De Lima, Laila Barbosa Santana, Igor Henriques Fortunato, Rodrigo Montenegro Wanderley, Maria Luíza Salviano da Silva, Larissa Rayanna do Amaral Silveira, Matthew Stults-Kolehmainen, Aline de Freitas Brito

“… Obesity is a public health issue that is associated with the development of cardiometabolic and musculoskeletal multimorbidities, such as sarcopenia. …”
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CLINICAL PROFILES OF PATIENTS WITH MULTIFORM EXUDATIVE ERYTHEMA AND STEVENS-JOHNSON SYNDROME IN DENTAL PRACTICE by T.P. Skrypnykova, P.M. Skrypnykov, T.A. Khmil, O.A. Pysarenko, O.O. Kulai, Y.V. Tymoshenko, E.E. Berezhnaja

“… The diagnosis and treatment of erythema multiforme (EM) and Stevens-Johnson syndrome (SJS) is still a difficult issue in the practice of dentists. It is important for dentists to have a clear understanding of these diseases to provide appropriate care for patients. …”
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Preventive effects of 23-valent pneumococcal polysaccharide vaccine on community-acquired pneumonia hospitalization in older individuals in China: A case-control study by Na Liu, Lei Wang, Lin Luan, Huaqing Wang

“…A hospital-based case-control study was conducted on this issue in Suzhou City, Jiangsu Province, China. Cases were individuals who were newly diagnosed with CAP based on International Classification of diseases 10 (ICD10 code: J15.902, J15.903, J13.x00 × 001) from January 2023 to June 2023, while patients with other respiratory tract infections were the control group. …”
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LGC-YOLO: Local-Global Feature Extraction and Coordination Network With Contextual Interaction for Remote Sensing Object Detection by Qinggang Wu, Yang Li, Junru Yin, Xiaotian You

“…Extensive experiments on three commonly used remote sensing datasets of NWPU VHR-10, VisDrone 2019, and DOTA demonstrate the superiority of our method in object classification and localization compared to other state-of-the-art methods.…”
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Automated Root Cause Analysis of Network Failures in IP/MPLS Network Using Machine Learning and Case-Based Reasoning by Tikumporn Wankvar, Apichon Witayangkurn

“…The use of Term Frequency-Inverse Document Frequency for feature extraction improves classification accuracy by emphasizing distinctive terms over commonly occurring ones. …”
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Coronary Artery Disease Detection Based on a Novel Multi-Modal Deep-Coding Method Using ECG and PCG Signals by Chengfa Sun, Changchun Liu, Xinpei Wang, Yuanyuan Liu, Shilong Zhao

“…Nevertheless, most previous methods have relied on single-modal data, restricting their diagnosis precision due to suffering from information shortages. To address this issue and capture adequate information, the development of a multi-modal method becomes imperative. …”
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