Results 81 to 90 of about 422,144 (319)
Providing a Foresight Model for Selecting the Appropriate Breast Cancer Diagnosis Model [PDF]
مجله انفورماتیک سلامت و زیست پزشکیIntroduction: Selecting an appropriate model for breast cancer diagnosis is critical. Unsuitable models can compromise diagnostic accuracy, lead to incorrect outcomes, and impact clinical decision-making.
Abdolhossein Shakibaeinia +3 more
doaj
ICT ExpressFouling in heat exchangers (HXs) affects various industries by lowering efficiency and increasing costs. Traditional fouling-prediction models often do not reflect important mechanistic information and thus become very complex and less reliable.
Abdul Wahid Soomro +6 more
doaj +1 more source
Inside the “brain” of an artificial neural network: an interpretable deep learning approach to paroxysmal atrial fibrillation diagnosis from electrocardiogram signals during sinus rhythm [PDF]
, 2022 Panteleimon Pantelidis +9 more
openalex +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
International Journal for Computational Civil and Structural EngineeringDeep learning (DL), a major part of artificial intelligence (AI) is considered as a transformational technology in different areas of science, such as structural engineering.
Manaf Raid Salman +4 more
doaj +1 more source
Privacy Aware Offloading of Deep Neural Networks [PDF]
, 2018 Deep neural networks require large amounts of resources which makes them hard to use on resource constrained devices such as Internet-of-things devices.
Dhoedt, Bart +3 more
core +2 more sources
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Research Based on Stock Predicting Model of Neural Networks Ensemble Learning
MATEC Web of Conferences, 2018 Financial time series is always one of the focus of financial market analysis and research. In recent years, with the rapid development of artificial intelligence, machine learning and financial market are more and more closely linked.
Xie Qi +3 more
doaj +1 more source
Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects
Advanced Materials, EarlyView.Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley +1 more source
DEEP AND MACHINE LEARNING MODELS FOR RECOGNIZING STATIC AND DYNAMIC GESTURES OF THE KAZAKH ALPHABET
Scientific Journal of Astana IT UniversityCurrently, an increasing amount of research is directed towards solving tasks using computer vision libraries and artificial intelligence tools. Most common are the solutions and approaches utilizing machine and deep learning models of artificial neural ...
Samat Mukhanov +5 more
doaj +1 more source