The Identification and Prioritization of the Factors Affecting Corporate Social Responsibility Implementation in the Construction Industry—The Perspective of Developing Countries by Yunxia Ran, Azlan Shah Ali, Liyin Shen, Hafez Bin Salleh, Mingli Zhu, Kaiyi Li, Rui Wang, Yu Cao

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FLFT: A Large-Scale Pre-Training Model Distributed Fine-Tuning Method That Integrates Federated Learning Strategies by Yu Tao, Ruopeng Yang, Kaisheng Zeng, Changsheng Yin, Yiwei Lu, Wenxin Lu, Yongqi Shi, Bo Wang, Bo Huang

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Enhancing biomedical named entity recognition with parallel boundary detection and category classification by Yu Wang, Hanghang Tong, Ziye Zhu, Fengzhen Hou, Yun Li

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Unseen Attack Detection in Software-Defined Networking Using a BERT-Based Large Language Model by Mohammed N. Swileh, Shengli Zhang

“…By utilizing Random Forest for feature selection, we optimize model performance and reduce computational overhead, ensuring efficient and accurate detection. …”
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Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery by Laith A. H. Al-Shimaysawee, Anthony Finn, Delene Weber, Morgan F. Schebella, Russell S. A. Brinkworth

“…This paper introduces a biologically inspired detection algorithm to locate koalas in eucalyptus plantations and evaluates its performance against ten other detection techniques, including both image processing and neural-network-based approaches. The nature of koala occlusion by canopy cover in these plantations was also examined using a combination of simulated and real data. …”
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Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learni... by Stephen H. Barlow, Sugama Chicklore, Yulan He, Sebastien Ourselin, Thomas Wagner, Anna Barnes, Gary J.R. Cook

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Determination of Fast-Moving Objects’ Speed and Range with Linear Frequency Modulation Continuous Wave Radar Using Autocorrelation Scheme by N. V. Sokolik

“…The results of the field experiment make it possible to draw conclusions that the proposed algorithm is highly robust even in the absence of inter-period secondary processing. Its usage allows one to improve the stability of the algorithm without considerable additional computational costs. …”
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Thermodynamic, exergy and exergo-environmental analysis of waste feedstock for the H2 production: A simulation study by Bilal Kazmi, Syed Ali Ammar Taqvi, Usama Ahmed, Libor Štěpanec, Salman Raza Naqvi

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Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging by K. Murugan, SatheeshKumar Palanisamy, N. Sathishkumar, Tagrid Abdullah N. Alshalali

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Application of machine learning and temporal response function modeling of EEG data for differential diagnosis in primary progressive aphasia by Heather Dial, Lokesha S. Pugalenthi, G. Nike Gnanateja, Junyi Jessy Li, Maya L. Henry

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Unlocking Potential Score Insights of Sentimental Analysis with a Deep Learning Revolutionizes by Ibrahim R. Alzahrani

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Photonics-Based Wideband Microwave Phase Shifter by Xudong Wang, Tong Niu, Erwin Hoi Wing Chan, Xinhuan Feng, Bai-ou Guan, Jianping Yao

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Research Advances on Distributed Acoustic Sensing Technology for Seismology by Alidu Rashid, Bennet Nii Tackie-Otoo, Abdul Halim Abdul Latiff, Daniel Asante Otchere, Siti Nur Fathiyah Jamaludin, Dejen Teklu Asfha

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Benchmarking Open-Source Large Language Models for Sentiment and Emotion Classification in Indonesian Tweets by Arbi Haza Nasution, Aytug Onan, Yohei Murakami, Winda Monika, Anggi Hanafiah

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Heat treatment and its effect on machining induced surface roughness of cast and additive manufactured AlSi10Mg by Amith K. V., Satish Shenoy Baloor, Ashwin Polishetty, Gururaj Bolar, Arun N. Govindhan

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Multivariate Modelling and Prediction of High-Frequency Sensor-Based Cerebral Physiologic Signals: Narrative Review of Machine Learning Methodologies by Nuray Vakitbilir, Abrar Islam, Alwyn Gomez, Kevin Y. Stein, Logan Froese, Tobias Bergmann, Amanjyot Singh Sainbhi, Davis McClarty, Rahul Raj, Frederick A. Zeiler

“…Analyzing these signals is crucial for understanding complex brain processes, identifying subtle patterns, and detecting anomalies. …”
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GuardianML: Anatomy of Privacy-Preserving Machine Learning Techniques and Frameworks by Nges Brian Njungle, Eric Jahns, Zhenqi Wu, Luigi Mastromauro, Milan Stojkov, Michel A. Kinsy

“…Privacy-preserving machine learning PPML aims to safeguard the confidentiality of both data and models and ensure that sensitive information remains protected during training and inference processes. Different techniques, protocols, libraries, and frameworks have been advanced to enable privacy-preserving machine learning, including implementation trade-offs, computational efficiency, communication overhead minimization, security guarantees, and scalability. …”
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Thermal Analysis of Outer Rotor BLDC Motor for Drone Considering Airflow Ventilation Cooling by Jaebeom Kang, Jiheon Lee, Hyeong-Jin Kim, Thanh-Tuan Nguyen, Jiyoung Lee, Yi-Hwa Song, Sung-Joo Yoo

“…Computational Fluid Dynamics (CFD) can analyze flow and heat transfer phenomena with high resolution but involves high computational cost, making it impractical for iterative design processes. …”
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Rice cultivation can mitigate soil salinization and alkalization by modifying the macropore structure in saline–sodic paddy fields by Wei Peng, Xiangming Zhu, Wenjuan Zheng, Qingyang Xie, Mingming Wang, Enhua Ran

“…Soil macropores play a critical role in complex physical coupling processes such as ion absorption and water/salt migration, which are closely associated with soil salinization and alkalization. …”
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Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning Reveals the Giant Exoplanet AF Lep b in High-contrast Imaging Data from 2011 by Markus J. Bonse, Timothy D. Gebhard, Felix A. Dannert, Olivier Absil, Faustine Cantalloube, Valentin Christiaens, Gabriele Cugno, Emily O. Garvin, Jean Hayoz, Markus Kasper, Elisabeth Matthews, Bernhard Schölkopf, Sascha P. Quanz

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