TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON), Journal Year: 2024, Volume and Issue: unknown, P. 362 - 365
Published: Dec. 1, 2024
Language: Английский
ACM Computing Surveys, Journal Year: 2025, Volume and Issue: unknown
Published: April 16, 2025
The increasing utilization of surveillance cameras in smart cities, coupled with the surge online video applications, has heightened concerns regarding public security and privacy protection, which propelled automated Video Anomaly Detection (VAD) into a fundamental research task within Artificial Intelligence (AI) community. With advancements deep learning edge computing, VAD made significant progress advances synergized emerging applications cities internet, moved beyond conventional scope algorithm engineering to deployable Networking Systems for (NSVAD), practical hotspot intersection exploration AI, IoVT, computing fields. In this article, we delineate foundational assumptions, frameworks, applicable scenarios various learning-driven routes, offering an exhaustive tutorial novices NSVAD. addition, article elucidates core concepts by reviewing recent typical solutions aggregating available resources accessible at https://github.com/fdjingliu/NSVAD. Lastly, projects future development trends discusses how integration AI technologies can address existing challenges promote open opportunities, serving as insightful guide prospective researchers engineers.
Language: Английский
Citations
2
Advanced Materials, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 21, 2025
Abstract Mechanical information is a medium for perceptual interaction and health monitoring of organisms or intelligent mechanical equipment, including force, vibration, sound, flow. Researchers are increasingly deploying recognition technologies (MIRT) that integrate acquisition, pre‐processing, processing functions expected to enable advanced applications. However, this also poses significant challenges acquisition performance efficiency. The novel exciting mechanosensory systems in nature have inspired us develop superior bionic (MIBRT) based on materials, structures, devices address these challenges. Herein, first strategies pre‐processing presented their importance high‐performance highlighted. Subsequently, design considerations sensors by mechanoreceptors described. Then, the concepts neuromorphic summarized order replicate biological nervous system. Additionally, ability MIBRT investigated recognize basic information. Furthermore, further potential applications robots, healthcare, virtual reality explored with view solve range complex tasks. Finally, future opportunities identified from multiple perspectives.
Language: Английский
Citations
1
Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 267, P. 126196 - 126196
Published: Dec. 25, 2024
Language: Английский
Citations
6
Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 82 - 94
Published: Jan. 1, 2025
Language: Английский
Citations
0
Smart Health, Journal Year: 2025, Volume and Issue: unknown, P. 100555 - 100555
Published: March 1, 2025
Language: Английский
Citations
0
Information Fusion, Journal Year: 2025, Volume and Issue: unknown, P. 103130 - 103130
Published: March 1, 2025
Language: Английский
Citations
0
Sensors, Journal Year: 2025, Volume and Issue: 25(7), P. 2330 - 2330
Published: April 6, 2025
The lack of a testing framework for various indoor positioning technologies brings huge challenges to the systematic and fair evaluation systems, which greatly hinders development industrialization technology. In order solve this problem, article refers international standards, such as ISO/IEC 18305, uses China Electronics Standardization Institute's rich experience in technology research build universal performance framework. First, paper introduces experimental environment detail from aspects coordinate system definition, test point selection, building type motion mode trajectory setting. Then, comprehensively measures indicators dimensions accuracy index, relative accuracy, startup time, fault tolerance, power consumption, size, cost. Finally, elaborates on methods processes precision, floor identification, indoor-outdoor distinction, latency, success rate, movement speed tests.
Language: Английский
Citations
0
Applied Sciences, Journal Year: 2025, Volume and Issue: 15(8), P. 4166 - 4166
Published: April 10, 2025
In the evolving landscape of Internet Things (IoT) applications, human activity recognition plays an important role in domains such as health monitoring, elderly care, sports training, and smart environments. However, current approaches face significant challenges: sensor data are often noisy variable, leading to difficulties reliable feature extraction accurate identification; furthermore, ensuring integrity user privacy remains ongoing concern real-world deployments. To address these challenges, we propose a novel framework that synergizes advanced statistical signal processing with state-of-the-art machine learning deep models. Our approach begins rigorous preprocessing pipeline—encompassing filtering normalization—to enhance quality, followed by application probability density functions key measures capture intrinsic characteristics. We then employ hybrid modeling strategy combining traditional methods (SVM, Decision Tree, Random Forest) architectures (CNN, LSTM, Transformer, Swin TransUNet) achieve high accuracy robustness. Additionally, our incorporates IoT security designed safeguard privacy, marking advancement over existing both efficiency effectiveness.
Language: Английский
Citations
0
Published: May 4, 2025
Language: Английский
Citations
0
Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 264, P. 125947 - 125947
Published: Nov. 28, 2024
Language: Английский
Citations
2