Hybrid YOLOv8 and Fast R-CNN for Accurate Schematic Detection in Power Distribution Networks by Aviv Yuniar Rahman, Zuhaina Zakaria

“…These findings underscore the robustness, scalability, and applicability of the proposed framework in automating schematic analysis. Furthermore, the method demonstrates strong potential for practical deployment within PLN Indonesia, particularly in real-time fault detection, technician training, and predictive maintenance, contributing to enhanced reliability and operational efficiency in national power distribution systems.…”
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An Ensemble Learning Framework with Explainable AI for interpretable leaf disease detection by Mohammad Rifat Ahmmad Rashid, Md. AL Ehtesum Korim, Mahamudul Hasan, Md Sawkat Ali, Mohammad Manzurul Islam, Taskeed Jabid, Raihan Ul Islam, Maheen Islam

“…Individual models demonstrated accuracy ranging from 88.71% to 99%, underscoring the robustness of the ensemble. Integrating XAI methods further ensures interpretable outputs, granting valuable insights into the decision-making process and heightening transparency for researchers and agronomists. …”
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CASCADE: a community-engaged action model for generating rapid, patient-engaged decisions in clinical research by Bridgette L. Kelleher

“…Methods The CASCADE method was developed to facilitate decision-making, combining techniques from a variety of past methodologies with new approaches that aligned with project constraints and goals. …”
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CosPoint Transformer: Enhancing 3-D Semantic Segmentation With Cosine Similarity Attention and Cross-Attention by Thien Huynh-The, Minh-Thanh Le, Won Jae Ryu, Anh-Kiet Vo

“…CPT consistently outperforms its baseline and demonstrates a compelling balance of high accuracy and efficiency compared to state-of-the-art methods across these diverse outdoor and indoor environments. …”
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Restructuring Non-teaching Hospitals into Teaching Hospitals in Iran: Component Change in General Hospitals by Niusha Shahidi Sadeghi, Mohammadreza Maleki, Soudabeh Vatankhah, Bahram Mohaghegh, Seyed Jafar Ehsanzadehsorati

“…Background: The present study investigated how a general hospital is restructured in Iran when transforming from a non-teaching into a teaching hospital.Methods: This applied study was conducted based on a mixed-method design from 2020 to 2021 using a systematic search and review, document analysis, comparative and cross-sectional design, multiple voting technique, and qualitative phenomenological method.Results: The conceptual framework of the components of a hospital as a system includes inputs (governance and policy-making, goals and mission, clinical and support departments, physical space, clients, and human resources), processes (internal and external relations, key processes, type and level of services, and teaching mission systematization), and outputs (performance evaluation, internal and external customer satisfaction, human capital empowerment, organizational behavior, income-cost management, cost-effectiveness and efficiency, service quality, and legal and social responsibility).Conclusion: The findings from the present study depicted how the components of teaching and non-teaching hospitals are restructured when changing their functions. …”
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DGNMDA: Dual Heterogeneous Graph Neural Network Encoder for miRNA-Disease Association Prediction by Daying Lu, Qi Zhang, Chunhou Zheng, Jian Li, Zhe Yin

“…We evaluate our model using 5-fold cross-validation and real-world disease case studies, based on the HMDD V3.2 dataset. Our method demonstrates superior performance compared to existing approaches in various tasks, confirming the effectiveness and potential of DGNMDA as a robust method for predicting miRNA-disease associations.…”
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Unsupervised machine learning-based multi-attributes analysis for enhancing gas channel detection and facies classification in the serpent field, offshore Nile Delta, Egypt by Shaimaa A. El-Dabaa, Farouk I. Metwalli, Ali Maher, Amir Ismail

“…This is achieved by associating the SOM outputs with lithofacies determined from petrophysical logs. …”
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Automated Digitization Approach for Road Intersections Mapping: Leveraging Azimuth and Curve Detection from Geo-Spatial Data by Ahmad M. Senousi, Wael Ahmed, Xintao Liu, Walid Darwish

“…The approach consistently produced gap-free, overlap-free outputs, showing strength in handling interchange geometries. …”
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Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN by Nadikatla Chandrasekhar, Sujatha Canavoy Narahari, Sreedhar Kollem, Samineni Peddakrishna, Archana Penchala, Babji Prasad Chapa

“…The proposed model's classification efficiency has been authenticated through experimental analysis, which yielded an accuracy of 97.33%.…”
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Enhanced permeability prediction in porous media using particle swarm optimization with multi-source integration by Zhiping Chen, Jia Zhang, Daren Zhang, Xiaolin Chang, Wei Zhou

“…By assigning optimal weight coefficients to the outputs of these methods, the model minimizes deviations from actual values and enhances permeability prediction performance. …”
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GANFlow: A Hybrid Model for SAR Image Target Open-Set Recognition Based on GAN and the Flow-Based Module by Jikai Qin, Jiusheng Han, Zheng Liu, Lei Ran, Rong Xie, Tat-Soon Yeo

“…Furthermore, by establishing an appropriate threshold, unknown categories can be efficiently rejected. Finally, the outputs of the classifier and the flow-based module are combined to complete the OSR of the SAR image target. …”
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Scopus-based bibliometric analysis of research trends in silage feed and its impact on rumen fermentation in ruminants by Tri Rachmanto Prihambodo, Randi Mulianda, Wulandari Wulandari, Santika Anggrahini, Novia Qomariyah, Andi Ella, Erna Winarti, Yenni Yusriani, Suyatno Suyatno, Jhon Firison, Deni Fitra, Anwar Efendi Harahap, Dinda Ayu Permata Sari, Taufik Hidayat, Anuraga Jayanegara

“…Results: Publication output has increased significantly since 2010, with China, the United States, and Canada emerging as the top contributors. …”
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Precision Target Spraying System Integrated with Remote Deep Learning Recognition Model for Cabbage Plant Centers by ZHANG Hui, HU Jun, SHI Hang, LIU Changxi, WU Miao

“…The pressure regulation unit was responsible for adjusting the pressure within the spraying system to ensure that the output remains stable under various operational conditions. …”
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Small and medium enterprises in regions - empirical and quantitative approach by Ladislav Mura, Zuzana Hajduová

“…We wanted to point out the differences within the individual regions of Slovakia. By applying the DEA method, we used individual models focused on inputs and outputs in order to determine the inefficient units in our research, and revealed its shortcomings and pointed out the way to improve the economic results of these research subjects.…”
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The DEA and Intuitionistic Fuzzy TOPSIS Approach to Departments' Performances: A Pilot Study by Babak Daneshvar Rouyendegh

“…This paper processes a unification of Fuzzy TOPSIS and Data Envelopment Analysis (DEA) to select the units with most efficiency. This research is a two-stage model designed to fully rank the organizational alternatives, where each alternative has multiple inputs and outputs. …”
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‘Don't Assume, Ask’: A Collaboration With Consumers, Interpreters, Clinicians and Health Service Staff to Increase Video Telehealth in Culturally and Linguistically Diverse Groups... by Jaimon T. Kelly, Monica L. Taylor, Victor M. Gallegos‐Rejas, Susan Pager, Soraia de Camargo Catapan, Karen Lucas, Angel Bogicevic, Anthony C. Smith, Centaine Snoswell, Helen M. Haydon, Emma E. Thomas

“…Conclusion Our collaboration highlighted the need for more education and reinforcement to promote equitable and efficient processes for accessing telehealth appointments for CALD consumers requiring an interpreter. …”
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Development and Validation of Quantile Regression Forests for Prediction of Reference Quantiles in Handgrip and Chair‐Stand Test by Giulia Giordano, Luca Mastrantoni, Francesco Landi, The Lookup 8+ Study Group

“…The predictive outputs of these models may serve as surrogate biomarkers of the aging process, capturing functional decline.…”
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A SIC and ML approach for MIMO non-orthogonal multiple access signal detection by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…The outcomes of the simulation show that the suggested SIC and ML outperform the traditional methods. It should be added that the 64 × 64 O-NOMA effectively increased the structure’s throughput and spectral efficiency.…”
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Quantum reinforcement learning in continuous action space by Shaojun Wu, Shan Jin, Dingding Wen, Donghong Han, Xiaoting Wang

“…In contrast, conventional quantum control methods demand separate optimization for each target state. …”
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A hybrid fuzzy decision-making approach for evaluating the suppliers based on industry 5.0 and viable supply chain dimensions: a case study in medical devices manufacturing by Zeinab Asadi, Hassanali Aghajani, Mohammad Valipourkhatir, Erfan Babaee Tirkolaee

“…In this regard, in the first stage, according to the literature and experts, the main indicators of the research problem are extracted, and their weights are calculated using the fuzzy best-worst method. In the next stage, the feasible suppliers are evaluated by employing the fuzzy VIKOR method. …”
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