Lightweight DeepLabv3+ for Semantic Food Segmentation by Bastián Muñoz, Angela Martínez-Arroyo, Constanza Acevedo, Eduardo Aguilar

“…The results demonstrate that high performance can be achieved at a significantly lower cost. The proposed method yields results that are either better than or comparable to those of state-of-the-art techniques while requiring significantly lower computational costs. …”
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PENDAMPINGAN STRATEGI PEMASARAN DIGITAL UNTUK MENINGKATKAN DAYA SAING UMKM BATIK DI DUSUN PIJENAN by Muhammad Sigit Darmawan, Aulia Rahma Kusumaningtyas, Naufal al-Haq, Nisrina Indy Saqifa, Nafa Elifah Khairunnisa, Dani Darmawan, R. Rully Mahendra, Dimas Alfandi, Fahmi Muharomi Dzikri, Adi Putra, Nadiva Freya Danella, Gunawan Budi Susilo

“…Reliance on conventional marketing methods has limited the market reach of batik MSMEs in Dusun Pijenan. …”
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An interpretable dynamic ensemble selection multiclass imbalance approach with ensemble imbalance learning for predicting road crash injury severity by Kamran Aziz, Feng Chen, Mahmood Ahmad, Muhammad Salman Khan, Mohanad Muayad Sabri Sabri, Hamad Almujibah

“…To accurately estimate the multi-class accident injuries and comprehend their severity we proposed a novel method called Bayesian Optimized Dynamic Ensemble Selection for Multi-Class Imbalance (DES-MI) with Ensemble Imbalance Learning (EIL), which involves; generating a pool of base classifiers with EIL methods and utilizing DES-MI to choose suitable classifiers. …”
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Enhanced Collaborative Edge Intelligence for Explainable and Transferable Image Recognition in 6G-Aided IIoT by Chen Chen, Ze Sun, Jiale Zhang, Junwei Dong, Peng Zhang, Jie Guo

“…IRCE leverages edge intelligence to optimize real-time performance while reducing computational costs and enhancing scalability. …”
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RT-DETR-Pro: An Enhanced RT-DETR Model for Visual Detection of Photovoltaic Module Defects by Yunliang Chen, Mingtao Shan, Wei Zhou, Bing Ma, Xun Mei

“…An enhanced RT-DETR (Real-Time Detection Transformer) model, RT-DETR-Pro, is proposed to address the problem of low recognition rates for visual detection of PV (photovoltaic) module defects by traditional object detection methods. Firstly, an EMA (Efficient Multi-Scale Attention) module is integrated into the vanilla RT-DETR model to optimize feature representation by reshaping the channel and batch dimensions of feature maps. …”
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Blocking calcium-MYC regulatory axis inhibits early dedifferentiation of chondrocytes and contributes to cartilage regeneration by Xu Wu, Yaoyao Fu, Jing Ma, Honglei Wang, Chenlong Li, Yaying Zhu, Qixuan Wang, Xudong Guo, Tianyu Zhang, Aijuan He

“…Abstract Tissue engineering technology for cartilage regeneration has increasingly emerged as a preferred method for repairing cartilage defects. However, the loss of chondrocyte-specific phenotypes during in vitro expansion, commonly referred to as dedifferentiation, impedes cartilage regeneration. …”
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Benchmarking Hook and Bait Urdu news dataset for domain-agnostic and multilingual fake news detection using large language models by Sheetal Harris, Jinshuo Liu, Hassan Jalil Hadi, Naveed Ahmad, Mohammed Ali Alshara

“…The lightweight LoRA fine-tuning method, with  0.032% trainable parameters, ensured robust data handling, computational efficiency while leveraging early stopping and optimized hyperparameters for reliable and high-performing monolingual and multilingual FND. …”
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IoT Based Health Monitoring with Diet, Exercise and Calories recommendation Using Machine Learning by Muhammad Hassaan Naveed, Omar Bin Samin, Muhammad Bilal, Mustehsum Waseem

“…The Random Forest model demonstrated superior performance in precision, recall, F1-score, and R2 score metrics, making it the optimal choice for the recommender system. In Pakistan, both the fitness and healthcare sectors still rely heavily on manual methods for health assessment and monitoring. …”
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The cost-effectiveness of biologics for the treatment of rheumatoid arthritis: a systematic review. by Jaana T Joensuu, Saara Huoponen, Kalle J Aaltonen, Yrjö T Konttinen, Dan Nordström, Marja Blom

“…<h4>Background and objectives</h4>Economic evaluations provide information to aid the optimal utilization of limited healthcare resources. …”
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A PatchTST-GRU based heterogeneous seq2seq model with numerical weather prediction refinement for multi-step wind power forecasting by Shiwei Xu, Yongjun Wang, Xinglei Xu, Guang Shi, He Huang, Yingya Zheng

“…Abstract The efficient utilization of wind energy relies on accurate wind power forecasting. However, existing methods face challenges in multi-step forecasting, including error accumulation, insufficient utilization of numerical weather prediction (NWP), and inadequate modeling of localized meteorological characteristics. …”
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An Investigation into the Effects of Frailty and Sarcopenia on Postoperative Anesthesia Recovery and Complications Among Geriatric Patients Undergoing Colorectal Malignancy Surgery by Rüştü Özdemir, Ferda Yaman

“…We investigated the impacts of frailty and sarcopenia on postoperative recovery, complications, and discharge time, while also identifying a cost-effective, bedside-accessible USG parameter for diagnosing sarcopenia among patients assessed using the “Sonographic Thigh Adjustment Ratio” method. …”
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Electrochemical Sensing of Dopamine Neurotransmitter by Deep Eutectic Solvent–Carbon Black–Crosslinked Chitosan Films: Charge Transfer Kinetic Studies and Biological Sample Analysi... by Alencastro Gabriel Ribeiro Lopes, Rafael Matias Silva, Orlando Fatibello-Filho, Tiago Almeida Silva

“…Furthermore, the sensor presented good precision, as shown from the repeatability tests. The presented method to electrochemically detect DA has proven to be efficient and simple compared to the conventional methods commonly reported.…”
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Mapeamento da declividade em microbacias com Sistemas de Informação Geográfica Digital mapping of slope angle in watersheds with Geographical Information Systems by Márcio de M. Valeriano

“…The estimate errors in the developed method were evaluated by mapping the standardized residues.…”
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Contamination of fabric surface by the particles woven from the cotton waste open end rotor yarn by Gabriela Krupincová, Brigita Kolčavová Sirková

“…The impact of cotton waste proportion and cleaning methods on open-end rotor yarn quality, using blends from 100 to 0% cotton waste mixed with virgin cotton fibers were investigated. …”
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Obstetric outcomes and antenatal access among adolescent pregnancies in Kwazulu-Natal, South Africa by Trishka Govender, P Reddy, S Ghuman

“…Timeous initiation and optimal utilisation of antenatal care (ANC) services is imperative to ensure positive pregnancy outcomes. …”
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Outcomes among Patients with Mantle Cell Lymphoma Post-Covalent BTK Inhibitor Therapy in the United States: A Real-World Electronic Medical Records Study by Lisa M. Hess, Yongmei Chen, Paolo B. Abada, Heiko Konig, Richard A. Walgren

“…There remains a lack of consensus among experts regarding the optimal therapeutic approach for Mantle cell lymphoma (MCL) after failure of covalent Bruton Tyrosine Kinase inhibitor (cBTKi)-based therapy. …”
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PGHDR: Dynamic HDR reconstruction with progressive feature alignment and quality-guided fusion by Ying Qi, Qiushi Li, Zhaoyuan Huang, Jian Li, Chenyang Wang, Teng Wan, Qiang Zhang

“…The core innovation is a learning paradigm that jointly optimizes motion estimation and alignment quality perception. …”
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Prototypical Few-Shot Learning for Histopathology Classification: Leveraging Foundation Models With Adapter Architectures by Kazi Rakib Hasan, Sijin Kim, Junghwan Cho, Hyung Soo Han

“…The iBOT model with multilayer perception adapters fine-tuned using the bias-diminishing cosine similarity-based prototypical network algorithm achieved remarkable accuracy, reaching 95.04% on Camelyon17 Wilds and 96.55% on the NCT dataset with 20 images per class while using less than 0.002% of the dataset. These findings underscore the effectiveness of the proposed approach in addressing challenges posed by low-data regimes in the computer-aided histopathology domain and the potential for optimizing foundation models with minimal labeled data using prototypical few-shot algorithms.…”
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A Heuristic Motion Planning Algorithm for a Mobile Robot With Nonholonomic Constraints by Duc Thien Tran, Duc Huy Pham, Quang Chien Nguyen

“…The proposed method uses the A-star search algorithm to discover the optimal path between the start and goal vertices. …”
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Clinical and economic analysis of the modern strategies for treating metabolic syndrome by Marina Fedorovna Kalashnikova, Vera Uchamprina, Tatiana Ivanovna Romantsova, Andrey Nikolaevich Gerasimov

“…The objective of this study was to identify the ways to optimize therapy for metabolic syndrome through complex clinical and economic analysis. …”
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