Results 21 to 30 of about 11,695 (306)

Voice Activity Detection Optimized by Adaptive Attention Span Transformer

IEEE Access, 2023
Voice Activity Detection (VAD) is a widely used technique for separating vocal regions from audio signals, with applications in voice language coding, noise reduction, and other domains.
Wenpeng Mu, Bingshan Liu
doaj   +1 more source

CubicPat: Investigations on the Mental Performance and Stress Detection Using EEG Signals

Diagnostics
Background\Objectives: Solving the secrets of the brain is a significant challenge for researchers. This work aims to contribute to this area by presenting a new explainable feature engineering (XFE) architecture designed to obtain explainable results ...
Ugur Ince, Yunus Talu, Aleyna Duz, Suat Tas, Dahiru Tanko, Irem Tasci, Sengul Dogan, Abdul Hafeez Baig, Emrah Aydemir, Turker Tuncer   +9 more
doaj   +1 more source

Using Blockchain to Ensure the Integrity of Digital Forensic Evidence in an IoT Environment

EAI Endorsed Transactions on Creative Technologies, 2022
Digital forensics deals with digital evidence. Digital forensics is the study of data detection, acquisition, processing, analysis, and reporting. Encouraging the use of digital forensics in law enforcement investigations.
Muhammad Shoaib Akhtar, Tao Feng
doaj   +1 more source

TME/NIR Dual‐Responsive Zinc‐Based Targeted Nanoagonist for Multimodal Amplification of STING‐Mediated Cancer Immunotherapy

Advanced Science, EarlyView.
A multifunctional nanoagonist (cDZ@IP) enables nano‐metabolite–driven multimodal activation of the STING pathway and enhanced immune recognition, achieving potent antitumor immunity and suppressing tumor growth and metastasis. This strategy highlights the rational design of therapeutic metabolites and establishes a new paradigm bridging nanomedicine ...
Kepeng Hu, Jiawei Wang, Wei Zhang, Zhixuan Wu, Jing Chen, Yujing He, Xiyue Duan, Yaoting He, Xin Xin, Haoyi Xiang, Yijing Wang, Chengwei Wu, Yang Yi, Qing Meng, Yuqian Qiao, Kui Cheng, Xiaojun Long, Zhangfa Song   +17 more
wiley   +1 more source

A Systematic Literature Review of Cyber Security Monitoring in Maritime

IEEE Access
In recent years, many cyber incidents have occurred in the maritime sector, targeting the information technology (IT) and operational technology (OT) infrastructure.
Risto Vaarandi, Leonidas Tsiopoulos, Gabor Visky, Muaan Ur Rehman, Hayretdin Bahsi   +4 more
doaj   +1 more source

Palatable‐Food–Driven Top‐Down Circuit Inhibits PVNCRF Activity to Mitigate Stress Via Peri‐PVNCRFR1 Neurons

Advanced Science, EarlyView.
Palatable food alleviates stress and prevents anxiety. This study uncovers a dedicated neural pathway: dopamine release in the PFC activates D1R neurons, whose projections to the peri‐PVN engage a population of anxiolytic CRFR1 neurons. These neurons then inhibit stress‐induced hyperactivity of PVNCRF neurons, providing a circuit‐level explanation for ...
Yuchuan Hong, Shirui Jun, Tianjiao Deng, Gaojie Shao, Dan Liu, Yi Sun, Yan Chen, Qian Xiao, Jie Shao, Sheng Wang, Tianwen Huang, Fan Yang, Jie Tu   +12 more
wiley   +1 more source

Edge-based AI solution for enhancing urban safety: helmet compliance monitoring with YOLOv9 on Raspberry Pi

Discover Internet of Things
This paper presents an automated helmet detection system leveraging Raspberry Pi and advanced deep learning techniques, specifically the YOLOv9 object detection model that focuses on real-time object detection.
Nikunj Tahilramani, Param Ahir, Shruti Saxena, Vandana P. Talreja, Panem Charanarur   +4 more
doaj   +1 more source

DexMonitor: Dynamically Analyzing and Monitoring Obfuscated Android Applications

IEEE Access, 2018
Both Android application developers and malware authors use sophisticated obfuscation tools to prevent their mobile applications from being repackaged and analyzed.
Haehyun Cho, Jeong Hyun Yi, Gail-Joon Ahn   +2 more
doaj   +1 more source

Learning From Few Cyber-Attacks: Addressing the Class Imbalance Problem in Machine Learning-Based Intrusion Detection in Software-Defined Networking

IEEE Access, 2023
The class imbalance problem negatively impacts learning algorithms’ performance in minority classes which may constitute more severe attacks than the majority ones.
Seyed Mohammad Hadi Mirsadeghi, Hayretdin Bahsi, Risto Vaarandi, Wissem Inoubli   +3 more
doaj   +1 more source

Astrocytic FDX1 Contributes to Copper Dyshomeostasis‐associated Synaptic Dysfunction in Depression and Is Modulated by Exercise

Advanced Science, EarlyView.
Chronic stress disrupts copper homeostasis and promotes copper accumulation in the prelimbic cortex, leading to astrocytic FDX1 upregulation. Elevated astrocytic FDX1 impairs calcium signaling, induces structural atrophy, and disrupts synaptic function, contributing to depressive‐like behaviors. Physical exercise reverses these alterations by restoring
Lina Gao, Rongji Hui, Zhibo Tang, Tao Feng, Zhihang Hu, Xiaoqing Zhang, Ping Jiang, Hui Zhao, Kwok‐Fai So, Tianyuan Luo, Yanzhou Chang, Lan Yan   +11 more
wiley   +1 more source