Engineering 3D-BMSC exosome-based hydrogels that collaboratively regulate bone microenvironment and promote osteogenesis for enhanced cell‐free bone regeneration by Kai Xiang, Muwei Hao, Zheng Zhang, Keyi Zhang, Han Sun, Lei Zhang

Get full text

Aptamer Combined with Fluorescent Silica Nanoparticles for Detection of Hepatoma Cells by Zixi Hu, Juntao Tan, Zongqiang Lai, Rong Zheng, Jianhong Zhong, Yiwei Wang, Xiaoxue Li, Nuo Yang, Jieping Li, Wei Yang, Yong Huang, Yongxiang Zhao, Xiaoling Lu

Get full text

Transformer Self-Attention Change Detection Network with Frozen Parameters by Peiyang Cheng, Min Xia, Dehao Wang, Haifeng Lin, Zikai Zhao

Get full text

Detecting Software Anomalies in Robots by Means of One-class Classifiers by Héctor Quintián, Esteban Jove, Francisco Zayas-Gato, Nuño Basurto, Carlos Cambra, Álvaro Herrero

“…While most anomaly detection research has focused on hardware anomalies, this study addresses the underexplored challenge of software anomaly detection in component-based robotic systems. …”
Get full text

Malware detection technology analysis and applied research of android platform by Wei-ping WEN, Rui MEI, Ge NING, Liang-liang WANG

“…For the Android platform security problem, a mobile client and server collaborative malware detection pro-posal was proposed, where mobile client application was mainly based on permission detection technology and imple-mented lightweight testing. …”
Get full text

Malware detection technology analysis and applied research of android platform by Wei-ping WEN, Rui MEI, Ge NING, Liang-liang WANG

“…For the Android platform security problem, a mobile client and server collaborative malware detection pro-posal was proposed, where mobile client application was mainly based on permission detection technology and imple-mented lightweight testing. …”
Get full text

Distributed Detection in Wireless Sensor Networks under Byzantine Attacks by Junhai Luo, Zan Cao

“…Distributed detection in wireless sensor networks (WSNs) under Byzantine attacks is studied in this paper. …”
Get full text

Accurate detection of selective forwarding attack in wireless sensor networks by Qiong Zhang, Wenzheng Zhang

“…Moreover, to prevent collaborative selective forwarding attack, E-watchdog uses reports from more than one detection agents. …”
Get full text

Wireless Sensor Networks Energy Effectively Distributed Target Detection by Xiaogang Qi, Peng Wei, Lifang Liu, Mande Xie, Guoyong Cai

“…According to the simulation results, the probability of the single node target detection is compared with that of the multisensor collaborative target detection, and the influence of the weight coefficient on average node energy consumption is analyzed. …”
Get full text

Detection of Abnormal Item Based on Time Intervals for Recommender Systems by Min Gao, Quan Yuan, Bin Ling, Qingyu Xiong

“…To solve the problem, an approach for the detection of abnormal item is proposed in this paper. …”
Get full text

Nanomaterial-Based Sensing Systems to Detect Neuropharmaceutical Compounds and Neurotransmitters by Monireh Bakhshpour-Yücel, Nawal Aljayyousi, Bilgen Osman, Nese Lortlar Ünlü, Adil Denizli, M. Selim Ünlü

“…This review explores the application of nanomaterial-based sensing systems for precisely detecting neuropharmaceutical compounds and neurotransmitters, delving into the connections between nanotechnology and neuropharmacology. …”
Get full text

Spammer group detection based on cascading and clustering of core figures by Qianqian Jiang, Chunrong Zhang, Ning Li, Dickson K. W. Chiu, Xianwen Fang, Shujuan Ji

“…Abstract The problem of collaborative spamming in e-commerce is gradually increasing, and traditional spammer group detection algorithms usually seem cumbersome and time-consuming when dealing with massive user review data. …”
Get full text

Enhancing Federated Intrusion Detection with Class-Specific Dynamic Sampling by Sungkwan Youm, Taeyoon Kim

“…Federated Learning (FL) presents a promising approach for collaborative intrusion detection while preserving data privacy. …”
Get full text

FLWD:A Webshell detection method based on federated learning by ZENG Qingpeng, CHAI Jiangli, WU Shuixiu

“…To address these challenges, a Webshell detection method based on federated learning was proposed. …”
Get full text

A Comprehensive Review of EEG-Based Seizure Detection Techniques by Goldwyn Sudhakar Jebaraj, Konguvel Elango

Get full text

Disagreement in Detected Heatwave Trends Resulting From Diagnostic Methods by Boyuan Zhang, Yongli He, Zhanbo Wang, Bo Huang, Yongkun Xie, Xiaodan Guan, Jianping Huang

Get full text

Ship Plate Detection Algorithm Based on Improved RT-DETR by Lei Zhang, Liuyi Huang

“…To address the challenges in ship plate detection under complex maritime scenarios—such as small target size, extreme aspect ratios, dense arrangements, and multi-angle rotations—this paper proposes a multi-module collaborative detection algorithm, RT-DETR-HPA, based on an enhanced RT-DETR framework. …”
Get full text

Enhancing human–robot collaboration with thermal images and deep neural networks: the unique thermal industrial dataset WLRI-HRC and evaluation of convolutional neural networks by S. Süme, K.-M. Ponomarjova, T. M. Wendt, S. J. Rupitsch

“…<p>This contribution introduces the use of convolutional neural networks to detect humans and collaborative robots (cobots) in human–robot collaboration (HRC) workspaces based on their thermal radiation fingerprint. …”
Get full text

Thai Guideline for Nuclear Medicine Investigations of Neurocognitive Disorders: Nuclear Medicine Society of Thailand, the Neurological Society of Thailand, and Thai Medical Physici... by Tawika Kaewchur, Tanyaluck Thientunyakit, Wichana Chamroonrat, Benjapa Khiewvan, Peerapon Kiatkittikul, Nantaporn Wongsurawat, Chanisa Chotipanich, Yuttachai Likitjaroen, Vorapun Senanarong, Panya Pasawang, Tanawat Sontrapornpol, Nucharee Poon-iad, Sasithorn Amnuaywattakorn, Supatporn Tepmongkol

“…By providing functional and molecular data via brain imaging, nuclear medicine investigations offer valuable insights that complement clinical evaluations and structural imaging in the early detection, diagnosis, and differentiation of various types of dementia, leading to more accurate diagnosis and personalized treatment planning. …”
Get full text

Exploring the Role of Artificial Intelligence in Detecting Advanced Persistent Threats by Pedro Ramos Brandao

“…This study examines various AI-driven methodologies, including anomaly detection, predictive analytics, and automated response systems, highlighting their effectiveness in real-time threat detection and response. …”
Get full text