Results 101 to 110 of about 9,883,756 (332)

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

Disease diagnosis and prediction using deep learning: a review [PDF]

PeerJ Computer Science
Deep learning (DL) is a machine learning technique that processes data in a manner influenced by the functioning of the human brain. It is an effective tool for deciphering complicated data and may be applied to many other processes, such as decision ...
Shyamala Krishnan, Navamani Thandava Meganathan   +1 more
doaj   +2 more sources

Application of Deep Learning in Cancer Prognosis Prediction Model

Technology in Cancer Research & Treatment, 2023
As an important branch of artificial intelligence and machine learning, deep learning (DL) has been widely used in various aspects of cancer auxiliary diagnosis, among which cancer prognosis is the most important part.
Heng Zhang MS, Qianyi Xi MS, Fan Zhang MS, Qixuan Li MS, Zhuqing Jiao PhD, Xinye Ni PhD   +5 more
doaj   +1 more source

Deep Learning on Network Traffic Prediction: Recent Advances, Analysis, and Future Directions

ACM Computing Surveys
From the perspective of telecommunications, next-generation networks, or beyond 5G, will inevitably face the challenge of a growing number of users and devices. Such growth results in high-traffic generation with limited network resources.
Ons Aouedi, Van An Le, Kandaraj Piamrat, Yu-Sheng Ji   +3 more
semanticscholar   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

DL-Scale: Deep Learning for model upgrading in topology optimization

Procedia Manufacturing, 2020
Abstract Topology optimization is used for defining the optimal arrangement of material within a specific domain with respect to transferring specific loads to predetermined supports in the best possible way. Deep learning techniques have achieved significant results in computer vision [1], natural language processing [1], big-data management [2 ...
Nikos Ath. Kallioras, Nikos D. Lagaros
openaire   +1 more source

Unveiling the potential of artificial intelligence in revolutionizing disease diagnosis and prediction: a comprehensive review of machine learning and deep learning approaches

European Journal of Medical Research
The rapid advancement of Machine Learning (ML) and Deep Learning (DL) technologies has revolutionized healthcare, particularly in the domains of disease prediction and diagnosis. This study provides a comprehensive review of ML and DL applications across
Hossein Sadr, Mojdeh Nazari, Zeinab Khodaverdian, R. Farzan, S. yousefzadeh-chabok, M. Ashoobi, Hossein Hemmati, Amirreza Hendi, A. Ashraf, M. Pedram, M. Hasannejad-Bibalan, M. Yamaghani   +11 more
semanticscholar   +1 more source

A Low‐Cost, Handheld Optical Stiffness Sensor for Minimally Invasive Surgery

Advanced Robotics Research, EarlyView.
A novel handheld stiffness sensor is presented for real‐time tissue stiffness characterization. By simultaneously sensing contact force and tissue deformation, the device enables accurate stiffness quantification without requiring precise manual control. This approach offers a promising solution for intraoperative tumor detection and minimally invasive
Qianyu Ma, Ruxiang Jiang, Kaspar Althoefer, Nicolas Herzig, Hareesh Godaba   +4 more
wiley   +1 more source

Integrating CT-based radiomics and deep learning for invasive prediction of ground-glass nodules in lung adenocarcinoma: a multicohort study

Insights into Imaging
Objectives This study aimed to explore a multiple-instance learning (MIL) framework incorporating radiomics features and deep learning representations to predict the invasiveness of ground-glass nodules (GGNs) in lung adenocarcinoma (LUAD) using ...
Hai Du, Jing Shen, Feng Chen, Kaifeng Wang, Lili Qin, Yijiang Hu, Yue Xiao, Xiulin Wang, Jianlin Wu   +8 more
doaj   +1 more source

Deep Learning-Based Predictive Control of Vehicle-to-Grid Onboard Charger Back Stage Models

IEEE Access
To address the insufficient modeling accuracy and slow dynamic response of the Capacitor-Inductor-Inductor-Capacitor (CLLC) resonant converter in Vehicle-to-Grid (V2G) automotive onboard charger, a deep learning-based model predictive control method for ...
Yongquan Zhang, Weidong Xue, Shuaibing Li, Yongqiang Kang, Junmin Zhu, Haiying Dong   +5 more
doaj   +1 more source