Leveraging U-Net and ASPP for effective fault detection in photovoltaic modules by Khalfalla Awedat, Masoud Alajmi, Mustafa Elfituri

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M3S-GRPred: a novel ensemble learning approach for the interpretable prediction of glucocorticoid receptor antagonists using a multi-step stacking strategy by Nalini Schaduangrat, Hathaichanok Chuntakaruk, Thanyada Rungrotmongkol, Pakpoom Mookdarsanit, Watshara Shoombuatong

“…Using these balanced subsets, we explored and evaluated heterogeneous base-classifiers trained with a variety of SMILES-based feature descriptors coupled with popular ML algorithms. …”
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EFFResNet-ViT: A Fusion-Based Convolutional and Vision Transformer Model for Explainable Medical Image Classification by Tahir Hussain, Hayaru Shouno, Abid Hussain, Dostdar Hussain, Muhammad Ismail, Tatheer Hussain Mir, Fang Rong Hsu, Taukir Alam, Shabnur Anonna Akhy

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The Dark Side of Social Media: Analysing Dark Pattern Combinations and Their Impacts by Hansika Ukgoda

“…The findings revealed prevalent combinations of dark patterns and evaluated their effect, addressing a critical gap concerning social media's ethical implications in the Human-Computer Interaction (HCI) field. …”
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Clinicopathological pattern of cranial unifocal Langerhans cell histiocytosis: A study at medical college hospital by Salma Bhat, Parvez Nazir, Humaira Bashir, Ruby Reshi, Sheema Sheikh, Rohi Wani

“…They all had been preoperatively evaluated by skull X-ray and computed tomography. To rule out a multifocal disease scintigraphy was performed in all cases preoperatively. …”
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Serologic biomarkers for acute mesenteric ischemic: a systematic review by Ting-Yu CHEN, Yi-Fan ZHAO, Chao ZHANG, Guo-Xiang TIAN

“…Objective To evaluate the effects of classical markers, novel serological biomarkers and other markers on the diagnosis of acute mesenteric ischemia (AMI).Methods PubMed and Embase were searched by computer to collect and evaluate the studies on serum markers of AMI from the estab-lishment of the database to August 15, 2020. …”
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Advancing Transportation Routing Decisions Using Riemannian Manifold Surfaces by Emre Tokgöz, Iddrisu Awudu, Saravanan Kuppusamy

“…Though these factors increase the complexity of modeling, they provide the flexibility to evaluate the routing solutions from different perspectives: cost, distance, and time, to name a few. …”
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Characterizing the Effects of Intermittent Faults on a Processor for Dependability Enhancement Strategy by Chao(Saul) Wang, Zhong-Chuan Fu, Hong-Song Chen, Dong-Sheng Wang

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A feasibility study of ballet education using measurement and analysis on partial features of still scenes by So-Hyun Park, Gwang-Soo Hong, Sun-Woo Park, Aziz Nasridinov, In-Ja Park, Byung-Kyu Kim, Young-Ho Park

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The influence of correlated features on neural network attribution methods in geoscience by Evan Krell, Antonios Mamalakis, Scott A. King, Philippe Tissot, Imme Ebert-Uphoff

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The arrow of time in Parkinson’s disease by Fatemeh Sadeghi, Elvira del Agua Banyeres, Alessandra Pizzuti, Abdullah Okar, Kai Grimm, Christian Gerloff, Morten L. Kringelbach, Rainer Goebel, Simone Zittel, Gustavo Deco

“…Moreover, whole-brain generative computational models consisting of 1051 Hopf oscillators were constructed to evaluate effective connectivities and alterations of the functional hierarchical organization. …”
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GRACE-ICU: A multimodal nomogram-based approach for illness severity assessment of older adults in the ICU by Xiaoli Liu, Wesley Yeung, Ziyue Chen, Sicheng Hao, Zhicheng Yang, Xiaowei Sun, Chao Liu, Zhi Mao, Muyang Yan, Wei Yan, Desen Cao, Mengling Feng, Deyu Li, Zhengbo Zhang, Leo Anthony Celi

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ORANSight-2.0: Foundational LLMs for O-RAN by Pranshav Gajjar, Vijay K. Shah

“…Additionally, we leverage ORAN-Bench-13K, an existing benchmark for assessing O-RAN-specific knowledge. Our comprehensive evaluations demonstrate that ORANSight-2.0 models outperform general-purpose and closed-source models, such as ChatGPT-4o and Gemini, by 5.421% on ORANBench and 18.465% on srsRANBench, achieving superior performance while maintaining lower computational and energy costs. …”
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Thermography in Bike Fitting: A Literature Review by Warre Clarys, Oscar Vallet, Jan Verstockt, Hai Zhang, Simon Verspeek, Gunther Steenackers

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First Investigation of Long-Term Methane Emissions from Wastewater Treatment Using Satellite Remote Sensing by Seyed Mostafa Mehrdad, Bo Zhang, Wenqi Guo, Shan Du, Ke Du

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Oppositional chaotic artificial hummingbird algorithm on engineering design optimization by Vidyasagar Bhattacharjee, Provas Kumar Roy, Ghanshyam G. Tejani, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…For engineering cases, OCAHA provides better searching performance, solution precision, robustness and convergence rate than all competing designs, and, on average, it has lowered the computational cost by 57.5% and 22.63% in term of function evaluations and the fitness objective by 2.4% and 0.23% in comparison to AHA and the chaotic version CAHA, respectively.…”
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A weather-driven mathematical model of Culex population abundance and the impact of vector control interventions by Suman Bhowmick, Patrick Irwin, Kristina Lopez, Megan Lindsay Fritz, Rebecca Lee Smith

“…We compute the Basic offspring number of the associated model and perform sensitivity analysis. …”
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Phase recognition in manual Small-Incision cataract surgery with MS-TCN + + on the novel SICS-105 dataset by Simon Mueller, Bhuvan Sachdeva, Singri Niharika Prasad, Raphael Lechtenboehmer, Frank G Holz, Robert P Finger, Kaushik Murali, Mohit Jain, Maximilian W M Wintergerst, Thomas Schultz

“…Abstract Manual Small-Incision Cataract Surgery (SICS) is a prevalent technique in low- and middle-income countries (LMICs) but understudied with respect to computer assisted surgery. This prospective cross-sectional study introduces the first SICS video dataset, evaluates effectiveness of phase recognition through deep learning (DL) using the MS-TCN + + architecture, and compares its results with the well-studied phacoemulsification procedure using the Cataract-101 public dataset. …”
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Efficient management of ubiquitous location information using geospatial grid region name by Daoye Zhu, Min huang, Qifeng Lin, Yanyu Wang, Shuang Li, Chengqi Cheng

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Improvement of Technologies for Isolation and Purification of Biologically Active Substances from Plant Raw Materials by G. N. Turmanidze, V. V. Sorokin, K. S. Stepanov, M. A. Ignatenko

“…Flow distribution in extraction apparatuses was modeled using computational fluid dynamics methods. To evaluate the results obtained on the basis of modeling, a number of experiments were carried out, the object of which was the peel of an orange (dried flavedo and albedo, grinding degree 0.1–0.2 mm, moisture content 3.5 %). …”
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