Advancing Agile Software Cost Estimation Through Data Synthesis: A Comparative Analysis of Five Generation Techniques by Xiaoyan Zhao, Zulkefli Mansor, Rozilawati Razali, Mohd Zakree Ahmad Nazri, Xin Xiong

“…This is reflected in the fact that the accuracy of estimation still needs improvement, and most cost estimation techniques still rely on the team’s experience and knowledge. …”
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Assessing the Severity of ODT and Factors Determinants of Late Arrival in Young Patients with Acute Ischemic Stroke by Zhu L, Li Y, Zhao Q, Li C, Wu Z, Jiang Y

“…Enhanced public education, particularly regarding stroke symptoms and the use of emergency services, is crucial for reducing pre-hospital delays and improving patient outcomes.Keywords: acute ischemic stroke, onset-to-door time, young adults, machine learning, emergency medical services…”
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Parameterised analysis of blade profiles within electric submersible pump for enhancing energy conversion efficiency by Hui Wang, Yang Yang, Qingchen Che, Jinghe Hou, Dunwei Liu, Leilei Ji, Ling Zhou, Hui Li, Zhaoming He

“…The results show significant improvements in ESP performance, with a 24.30% increase in head and a 26.99% improvement in efficiency under overload conditions, and the deviation of the best efficiency point has also been corrected. …”
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Application of state of health estimation and remaining useful life prediction for lithium-ion batteries based on AT-CNN-BiLSTM by Feng-Ming Zhao, De-Xin Gao, Yuan-Ming Cheng, Qing Yang

“…Comparative analysis with hybrid neural network algorithms such as LSTM, BiLSTM, and CNN-LSTM confirms the proposed model’s high accuracy and stability in SOH estimation and RUL prediction.…”
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Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management by Fang Cao, Yujie Yang, Cui Guo, Hui Zhang, Qianying Yu, Jing Guo

“…Despite challenges in data privacy and model transparency, the potential of artificial intelligence in advancing AD care is enormous, bringing the future to precision medicine and improving patient outcomes. This manuscript provides a comprehensive review of the application of AI in the process of AD disease for the first time, aiming to play a key role in the advancement of AI in skin health care and further enhance the clinical diagnosis and treatment of AD.…”
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Geotri-VIO: geometrically consistent multi-prism projection for panoramic imaging in visual-inertial-odometry by Ruidong Mei, Yihan Tu, Lanxiang Zheng, MingXin Wei, Hui Cheng

“…Experimental results show that the triangular prism projection significantly improves the tracking accuracy of both point and line features, thereby enhancing the overall localization performance of the VIO system.…”
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Design Principles for Reinforcement Learning in Congestion Control Environments by Lincoln Kamau Kiarie, Mahsa Derakhshani, Konstantinos G. Kyriakopoulos

“…We demonstrate that a discrete action space leads to an improvement in learning compared to a continuous action space. …”
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Fault Diagnosis Across Aircraft Systems Using Image Recognition and Transfer Learning by Lilin Jia, Cordelia Mattuvarkuzhali Ezhilarasu, Ian K. Jennions

“…However, current fault diagnosis algorithms require abundant and balanced data to be trained, which is difficult and expensive to obtain for aircraft systems. …”
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Integrating AIoT Technologies in Aquaculture: A Systematic Review by Fahmida Wazed Tina, Nasrin Afsarimanesh, Anindya Nag, Md Eshrat E. Alahi

“…In conclusion, while AIoT presents substantial opportunities for enhancing aquaculture practices, successful implementation will depend on overcoming challenges related to scalability, cost, and technical expertise, improving models’ adaptability, and ensuring environmental sustainability.…”
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Portfolio optimization with MOPSO-Shrinkage hybrid model by Minh Tran, Nhat M. Nguyen

“…The main contribution of this study lies in combining the adaptive search capabilities of evolutionary algorithms with robust covariance estimation techniques to enhance portfolio allocation in mature financial markets. …”
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Real-Time AI Posture Correction for Powerlifting Exercises Using YOLOv5 and MediaPipe by Yeong-Min Ko, Aziz Nasridinov, So-Hyun Park

“…The AI service offers specific corrective feedback for both concentric and eccentric contractions, improving exercise efficiency and safety. The study’s results show that models built with machine learning algorithms generally outperform deep learning models for posture classification, and the proposed detailed feedback system is effective in preventing injuries and enhancing performance. …”
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Revising the Seismic Ground Truth Reference Event Identification Criteria by Ryan Gallacher, Tom Garth, James Harris, István Bondár, Keith McLaughlin, Dmitry A. Storchak

“… Accounting for improvements in the location algorithms used to relocate seismic events, we investigate the criteria used to identify well constrained seismic event locations, particularly seismic Ground Truth events. …”
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Optimizing coverage in wireless sensor networks using deep reinforcement learning with graph neural networks by G. Pushpa, R. Anand Babu, S. Subashree, S. Senthilkumar

“…This integration significantly improves network adaptability and operational efficiency. …”
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Enhanced Underwater Image Restoration and Clarity Optimization Using Advanced Digital Image Processing Techniques by Gopirajan Punniyakotti Varadharajan, Pradeep T., Charan R.

“…Furthermore, Gaussian bilateral filtering and Rayleigh stretching are utilized as denoising methods and edge clarity improvement. From the outcomes of the experiment based on PSNR and SSIM metrics, it is evident that the method presented in this paper has better performance than the traditional algorithms. …”
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MCAF-Net: Multi-Channel Temporal Cross-Attention Network with Dynamic Gating for Sleep Stage Classification by Xuegang Xu, Quan Wang, Changyuan Wang, Yaxin Zhang

“…Experimental results show that our proposed method successfully integrates information from multiple channels, achieving significant improvements in sleep stage classification compared to the vast majority of existing methods.…”
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Deep Reinforcement Learning in Multi-UAV Air Combat Maneuver Decision-Making: A Review of Key Techniques in Practice and Future Prospects by Fang Siyu, Zhang Zhenhua, Niu Jinglong, Bian Jiang, Xu Changyi, Wu Yuhu

“…Aimed at providing practical optimization suggestions or basic entry-level guidance for researchers in this field, this paper focuses on the key technologies involved in multi-UAV air combat from a practical perspective, including improvements in deep reinforcement learning algorithms, the design of efficient training methods, and the construction of multi-UAV combat environments. …”
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Design of Coffee Disease Detection Web Application Using Image Processing: A Case Study of Kyabugimbi-Kajunju Cooperative Farms in Bushenyi District. by Asiimwe, Mark, Kakuru, Ambrose

“…By contributing to the development of smart farming technologies, this project aims to empower coffee farmers with a tool for proactive disease management, ultimately improving crop yield and sustainability. Anticipated outcomes include a reliable image-based system demonstrating superior performance in coffee disease detection. …”
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Effectiveness and Design of PBL-Based Project Approach for Non-Major University Computing Courses by Jung-In Choi, Sooyeon Yang

“…Furthermore, substantial improvements were observed in instructional effectiveness and the structure of practical activities. …”
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Robust Schnorr-based subgroup multi-signature scheme by ZHANG Zhenqi, ZHU Qiuchi, WANG Zhiwei

“…The robustness of this scheme was proven in detail, demonstrating an improvement in the security of consensus mechanisms. …”
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A systematic review on the integration of explainable artificial intelligence in intrusion detection systems to enhancing transparency and interpretability in cybersecurity by Vincent Zibi Mohale, Ibidun Christiana Obagbuwa

“…The paper concludes with recommendations for future research directions, suggesting improvements in XAI techniques tailored for IDS, standardized evaluation metrics, and ethical frameworks prioritizing security and transparency. …”
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