Multi-convolutional neural network brain image denoising study based on feature distillation learning and dense residual attention by Huimin Qu, Haiyan Xie, Qianying Wang

“…Noise in acquisition and transmission degrades image quality and affects the reliability of diagnosis and research. Due to the complexity of the brain's structure and minor density differences, noise can increase diagnosis difficulty, so high-quality images are essential for disease detection, prognosis assessment, and treatment plan development. …”
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High-Level Synthesis of In-Circuit Assertions for Verification, Debugging, and Timing Analysis by John Curreri, Greg Stitt, Alan D. George

“…Despite significant performance and power advantages compared to microprocessors, widespread usage of FPGAs has been limited by increased design complexity. High-level synthesis (HLS) tools have reduced design complexity but provide limited support for verification, debugging, and timing analysis. …”
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Solutions on Establishing and Utilizing BIM for General Contractors in Key Scenarios of Digital Construction by Yang Peng, Fangqiang Yu, Ming Zhang, Jinglin Xu, Shang Gao

“…Third, the new model storage and indexing method are designed to reduce the complexity of model data and support rapid data retrieval, and a new BIM change detection method based on object metadata is provided. …”
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Energy aware computer vision algorithm deployment on heterogeneous architectures by Teymoor Ali, Deepayan Bhowmik, Robert Nicol

“…Abstract Computer vision algorithms, specifically convolutional neural networks (CNNs) and feature extraction algorithms, have become increasingly pervasive in many vision tasks. As algorithm complexity grows, it raises computational and memory requirements, which poses a challenge to embedded vision systems with limited resources. …”
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XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis by Sudi Suryadi, Masrizal

“…Cervical cancer continues to pose a significant global health challenge, with early detection remaining the cornerstone for effective intervention. …”
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SiAkif-Bots: Gemini AI for Academic Service Chatbots by Bunga Laelatul Muna, Sudianto Sudianto, Muhammad Lulu Latif Usman

“…Gemini AI's selection is based on its ability to understand complex conversational contexts and generate accurate and relevant responses. …”
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Critical Factors Analysis of Severe Traffic Accidents Based on Bayesian Network in China by Hong Chen, Yang Zhao, Xiaotong Ma

“…The purpose of this study is to minimize the negative influences of the severe traffic accidents in China by profoundly analyzing the complex coupling relations among accident factors contributing to the single-vehicle and multivehicle traffic accidents with the Bayesian network (BN) crash severity model. …”
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Entropy-Guided Distributional Reinforcement Learning with Controlling Uncertainty in Robotic Tasks by Hyunjin Cho, Hyunseok Kim

“…This approach significantly enhances sample efficiency and adaptability in complex long-horizon tasks, highlighting the effectiveness of entropy-guided RL in navigating challenging and uncertain environments.…”
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Sex Ratio Dynamics of Lamprey Populations: Implications for Ecosystem Stability and Conservation by Huang Yiwei, Zhao Zhetong

“…Our model integrates population growth dynamics and sex ratio variations, identifying key indicators from literature that reflect lamprey population behaviors, including predation efficiency and susceptibility to predators. …”
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Forecasting urban expansion: A dynamic urban growth model using DS-ConvLSTM to simulate multi-land regulation scenarios by Juyeong Nam, Changyeon Lee

“…Integrating 40 years of data, DS-ConvLSTM demonstrated superior performance compared to existing models, such as Convolutional Long Short-Term Memory (ConvLSTM), achieving an accuracy, F1-score, and Figure of Merit of 0.9801, 0.9510, and 0.8092, respectively. Notably, its efficient design reduces the network parameters by more than half compared to the ConvLSTM model, thereby decreasing model complexity. …”
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Optimization of household medical waste recycling logistics routes: Considering contamination risks. by Jihui Hu, Ying Zhang, Yanqiu Liu, Jiaqi Hou, Aobei Zhang

“…The complexity inherent in the optimization problem has motivated the development of the Adaptive Hybrid Artificial Fish Swarming Algorithm with Non-Dominated Sorting (AH-NSAFSA). …”
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Assessing the e-commerce last-mile logistics’ hidden risk hurdles by Rohit Raj, Arpit Singh, Vimal Kumar, Tanmoy De, Shalini Singh

“…Due to increasing last-mile logistics complexity, the e-commerce business's last-mile delivery has emerged as an imperative issue that impedes the advancement of contemporary last-mile logistics practices. …”
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Evaluating urban intersections: a comparative study of roundabouts versus protected U-turns—which is better? by Nawaf Alnawmasi, Hisham Jashami, Qiuqi Cai

“…This study aims to explore these complexities by analyzing the effectiveness of roundabouts and protected U-turns in the context of the unique urban landscape of the Hail City in Saudi Arabia. …”
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Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…Even though academic journals are trying to regulate the misuse of generative AI in medical writing by introducing AI detection as a regular part of the review process, the burden of upholding scientific accuracy and integrity still falls on the researcher’s shoulders. …”
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A Comprehensive Review of Analytical Approaches for Carotenoids Assessment in Plant-Based Foods: Advances, Applications, and Future Directions by Marcin A. Kurek, Havva Aktaş, Patryk Pokorski, Ewelina Pogorzelska-Nowicka, Jorge A. Custodio-Mendoza

“…Accurate quantification of these pigments is critical for food science, nutrition, and health research, yet their analysis remains challenging due to structural complexity, susceptibility to degradation, and matrix interferences. …”
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Classification of Metro Facilities with Deep Neural Networks by Deqiang He, Zhou Jiang, Jiyong Chen, Jianren Liu, Jian Miao, Abid Shah

“…Metro barrier-detection has been one of the most popular research fields. …”
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Design and synthesis, and experimental-computational analysis of an acetic acid-functionalized zinc tetrapyridinoporphyrazine catalyst for synthesizing acridine and quinoline deriv... by Reza Asareh, Maliheh Safaiee, Mahtab Moeinimehr, Fereshteh Yaghoobi

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A Mobile LiDAR-Based Deep Learning Approach for Real-Time 3D Body Measurement by Yongho Jeong, Taeuk Noh, Yonghak Lee, Seonjae Lee, Kwangil Choi, Sujin Jeong, Sunghwan Kim

“…This research, however, utilizes 3D depth information to enhance both accuracy and efficiency. By employing HRNet-based keypoint detection and transfer learning through deep learning, the precise locations of body parts are identified and combined with depth maps to automatically calculate body circumferences. …”
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Epitope-imprinted biomaterials with tailor-made molecular targeting for biomedical applications by Youlu Diao, Jia Gao, Yue Ma, Guoqing Pan

“…Additionally, we discuss the application of epitope-imprinted materials in the recognition and detection of peptides, proteins, and cells. Despite these advancements, challenges such as template complexity, imprinting efficiency, and scalability remain. …”
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Proactive Complaint Management in Public Sector Informatics Using AI: A Semantic Pattern Recognition Framework by Marco Esperança, Diogo Freitas, Pedro V. Paixão, Tomás A. Marcos, Rafael A. Martins, João C. Ferreira

“…The digital transformation of public services has led to a surge in the volume and complexity of informatics-related complaints, often marked by ambiguous language, inconsistent terminology, and fragmented reporting. …”
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