11+ hour, 17+ min ago   (611+ words) As a key pixel-level analysis technology, semantic segmentation is widely deployed in autonomous driving and medical imaging. Fully supervised segmentation relies on labour-intensive pixel-wise annotations, so weakly supervised semantic segmentation (WSSS) with only image-level labels has attracted wide attention. Existing…...

11+ hour, 51+ min ago   (552+ words) This study proposes a hybrid deep learning model based on the Stationary Wavelet Transform (SWT), a Frequency Attention mechanism, and a Temporal Convolutional Network architecture (TCN) for short-term electricity consumption forecasting at the university campus scale. The study utilizes a…...

13+ hour, 19+ min ago   (414+ words) Unmanned aerial vehicle (UAV) imagery supports intelligent surveillance, environmental monitoring, traffic management, and infrastructure inspection. Yet aerial detection is difficult when objects are small, crowded, and observed at markedly different scales. Background clutter and illumination changes further weaken target cues…...

13+ hour, 19+ min ago   (483+ words) Artificial intelligence (AI) has rapidly reshaped sports motion analysis through advances in wearable sensing, computer vision, and deep learning. However, existing reviews often focus on isolated techniques and lack a systematic evolutionary perspective. This study presents a 15-year bibliometric and…...

15+ hour, 25+ min ago   (485+ words) Hyperparameter optimization is a critical determinant of the performance and generalizability of convolutional neural networks (CNNs), yet selecting optimal configurations remains a complex challenge due to the large, non-linear search space. While numerous optimization techniques have been explored in the…...

1+ day, 7+ hour ago   (473+ words) Virtual reality (VR) locomotion methods differ substantially in their implications for usability, presence, and comfort. Although previous research has compared a range of locomotion techniques, relatively little attention has been given to whether locomotion experiences generalise across different VR experiences....

1+ day, 7+ hour ago   (396+ words) Accurate anomalous localization is a core challenge in industrial visual quality inspection. Current diffusion-based methods typically rely on single-scale reconstruction at a fixed resolution, often exhibiting limited performance on subtle or low-contrast anomalies due to the lack of hierarchical feature…...

1+ day, 10+ hour ago   (483+ words) With the rapid evolution of Large Language Models (LLMs) in natural language understanding and generation, Relation Extraction (RE) has achieved substantial milestones in low-resource and open-domain scenarios. However, prevailing LLM-based RE methodologies predominantly rely on one-shot prompting or static workflows,…...

1+ day, 10+ hour ago   (453+ words) 3D Gaussian splatting (3DGS) has recently emerged as an efficient and scalable method for high-fidelity 3D scene reconstruction, representation, and real-time rendering. In addition to geometric reconstruction, increasing research attention focuses on enriching 3D Gaussian primitives with semantic information, which can be related to…...

1+ day, 10+ hour ago   (495+ words) Background: Software Product Line (SPL) engineering relies on coordinated work over variability-intensive artifacts, yet existing SPL tools provide limited support for synchronized multi-user modeling and project-level collaboration. Objective: This paper presents a collaborative extension of VariaMos that combines synchronization based…...