Results 111 to 120 of about 22,071 (254)

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

Optimizing deep neural network architectures for renewable energy forecasting

Discover Sustainability
An accurate renewable energy output forecast is essential for energy efficiency and power system stability. Long Short-Term Memory(LSTM), Bidirectional LSTM(BiLSTM), Gated Recurrent Unit(GRU), and Convolutional Neural Network-LSTM(CNN-LSTM) Deep Neural ...
Sunawar khan, Tehseen Mazhar, Tariq Shahzad, Wajahat Waheed, Ahsen Waheed, Mamoon M. Saeed, Habib Hamam   +6 more
doaj   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

The Usefulness of Machine Learning Models to Predict Patient‐Reported Outcome Measures in Chronic Rhinosinusitis With Nasal Polyps

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Background and Objective The treatment available for chronic rhinosinusitis with nasal polyps (CRSwNP) has remained unsatisfactory. Patient‐reported outcome measures (PROMs), capturing patient‐perceived health status and well‐being, are vehicles for measuring and improving the efficacy of care.
Yang Shen, Pan‐Hui Xiong, Bo‐Wen Zheng, Chen‐Xi Li, Jun‐Liang Chen, Yue Gu, Yan‐Han Yang, Tao Lu, Yu‐Cheng Yang   +8 more
wiley   +1 more source

Vibratory Characteristics and Quantitative Parameters of Laryngeal Dystonia: A Scoping Review of High‐Speed Videoendoscopy Studies

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To review the clinical application and quantitative parameters of high‐speed videoendoscopy (HSV) in evaluating vocal fold kinematics in patients with laryngeal dystonia (LD), to summarize the limitations of existing studies, and to provide a reference for future clinical standardization.
Yuan‐Jia Hu, Jia Song, Sen‐Nian Zheng, Lu Xing, Yu‐Jie Feng, Sheng‐Tao Wu, Shu‐Yi Zeng, Ying‐Shan Tan, Qiu‐Tong Chen, Pei‐Yun Zhuang   +9 more
wiley   +1 more source

A Deep Neural Network (DNN)-Based Waterlogging Detection on Road

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Abstract. Waterlogging on roads severely impacts transportation safety majorly due to inadequate drainage systems, blocked drainage channels, poor road design and construction, especially in areas with limited or no regular monitoring and maintenance, leading to increased accidents and traffic disruptions.
Ghogale, Kedar Nagnathrao, Tomar, Vivek Singh, Verma, Prakhar, Sivakumar V., Sajeevan G.   +4 more
openaire   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

An analysis of the influence of deep neural network (DNN) topology in bottleneck feature based language recognition. [PDF]

PLoS One, 2017
Lozano-Diez A, Zazo R, Toledano DT, Gonzalez-Rodriguez J.   +3 more
europepmc   +1 more source

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch, Venkayya Yadlapalli, Suhana Sulthana Sk, G. Thippa Reddy, Sandeep Kautish   +4 more
wiley   +1 more source

AI‐enabled bumpless transfer control strategy for legged robot with hybrid energy storage system

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Designing Hybrid energy storage system (HESS) for a legged robot is significant to improve the motion performance and energy efficiency of the robot. However, switching between the driving mode and regenerative braking mode in the HESS may generate a torque bump, which has brought significant challenges to the stability of the robot locomotion.
Zhiwu Huang, Zi Yu, Hui Peng, Zixuan Wang, Xiaokang Dai, Weirong Liu, Jing Wang   +6 more
wiley   +1 more source