Results 71 to 80 of about 3,911,620 (341)

Traffic Sign Classification Using ASIC

International Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: The main aim of this project is to focus on traffic signs classification using Tensor flow and deploying the model onto an ASIC for engineering applications. The classification is done using Convolutional Neural Networks (CNNs) in TensorFlow, where the model is trained using a large dataset of traffic sign images.
G. Krishna Kishore, A. Shivarani, M. Priyanka, P. Madhavi, B. Sandhya   +4 more
openaire   +1 more source

In‐Depth Profiling Highlights the Effect of Efgartigimod on Peripheral Innate and Adaptive Immune Cells in Myasthenia Gravis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is an autoimmune disorder characterized by antibody‐mediated complement activation. Efgartigimod, a neonatal Fc receptor (FcRn) antagonist, is approved for treating generalized MG (gMG). However, its modulatory effects on upstream innate and adaptive immune cells remain largely unexplored.
Lei Jin, Liu Dong, Ying Wang, Dingxian He, Chong Yan, Jianying Xi, Haoqin Jiang, Yu Shi, Ming Guan, Chongbo Zhao, Jie Song, Sushan Luo   +11 more
wiley   +1 more source

Evaluating ORB and SIFT With Neural Network as Alternatives to CNN for Traffic Classification in SDN Environments

IEEE Access
Software-Defined Networking (SDN) centralizes control and separates the control plane from the data plane, enhancing flexibility and efficiency but also increasing the attack surface.
Hicham Yzzogh, Hafssa Benaboud
doaj   +1 more source

Diagnostic Utility of the ATG9A Ratio in AP‐4–Associated Hereditary Spastic Paraplegia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Adaptor protein complex 4–associated hereditary spastic paraplegia (AP‐4‐HSP), a childhood‐onset neurogenetic disorder and frequent mimic of cerebral palsy, is caused by biallelic variants in the adaptor protein complex 4 (AP‐4) subunit genes (AP4B1 [for SPG47], AP4M1 [for SPG50], AP4E1 [for SPG51], and AP4S1 [for SPG52]).
Habibah A. P. Agianda, Hyo‐Min Kim, Nicole Battaglia, Joshua Rong, Amy Tam, Enrique Gonzalez Saez‐Diez, Cornelius F. Boerkoel, Afshin Saffari, Vicente Quiroz, Luca Schierbaum, Zainab Zaman, Katerina Bernardi, Darius Ebrahimi‐Fakhari   +12 more
wiley   +1 more source

Enhancing Accountability, Resilience, and Privacy of Intelligent Networks With XAI

IEEE Open Journal of the Communications Society
In the rapidly evolving landscape of networking and security, the adoption of artificial intelligence (AI) is accelerating to meet the demands of real-time, data-driven applications. Current AI development processes predominantly prioritize model utility
Thulitha Senevirathna, Chamara Sandeepa, Bartlomiej Siniarski, Manh-Dung Nguyen, Samuel Marchal, Michell Boerger, Madhusanka Liyanage, Shen Wang   +7 more
doaj   +1 more source

Research on network traffic classification based on machine learning and deep learning

Dianxin kexue, 2021
With the continuous development of Internet technology and the continuous expansion of network scale, there are many different types of applications , and various new applications have endlessly emerged.In order to ensure the quality of service (QoS) and
Yue GU, Dan LI, Kaihui GAO
doaj  

Epilepsy‐Associated Variants of a Single SCN1A Codon Exhibit Divergent Functional Properties

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Pathogenic variants in SCN1A, which encodes the voltage‐gated sodium channel NaV1.1, are associated with multiple epilepsy syndromes exhibiting a range of clinical severity. SCN1A variants are reported in different syndromes, including Dravet syndrome, which is associated with loss‐of‐function, whereas neonatal/infantile‐onset ...
Lanie N. Liebovitz, Christopher H. Thompson, Linda C. Laux, Alfred L. George Jr.   +3 more
wiley   +1 more source

An approach of Bagging ensemble based on feature set and application for traffic classification

Dianxin kexue, 2018
Bagging is a classic ensemble approach,whose effectiveness depends on the diversity of component base classifiers.In order to gain the largest diversity,employing genetic algorithms to get independent feature subset for each base classifier was proposed ...
Yaguan QIAN, Xiaohui GUAN, Shuhui WU, Bensheng YUN, Dongxiao REN   +4 more
doaj  

From Patterns to Predictions: Spatiotemporal Mobile Traffic Forecasting Using AutoML, TimeGPT and Traditional Models

Computers
Call Detail Records (CDRs) from mobile networks offer valuable insights into both network performance and user behavior. With the growing importance of data analytics, analyzing CDRs has become critical for optimizing network resources by forecasting ...
Hassan Ayaz, Kashif Sultan, Muhammad Sheraz, Teong Chee Chuah   +3 more
doaj   +1 more source

A QoS Scheme for a Congestion Core Network Based on Dissimilar QoS Structures in Smart-Phone Environments

Sensors, 2010
This study suggests an approach to effective transmission of multimedia content in a rapidly changing Internet environment including smart-phones. Guaranteeing QoS in networks is currently an important research topic. When transmitting Assured Forwarding
Jang-Mook Kang, Wonshik Na, Sung-Ryong Hong   +2 more
doaj   +1 more source