Results 71 to 80 of about 95,777 (258)
IET Networks, EarlyView., 2023 The topic discussed was the intelligent design of network multimedia using BD and virtual AI technology. First of all, the authors gave a brief overview of its relevant research background, and then comprehensively analysed the advantages and disadvantages of previous scholars' research on network multimedia.
Xin Zhang
wiley +1 more source
Image-based skin disease detection: Psoriasis, Eczema, and Acne using VGG16 and ResNet-50 [PDF]
EPJ Web of ConferencesMillions of people around the world are affected by skin diseases, which represent a serious health risk. For these illnesses to be effectively treated, a timely and precise diagnosis is essential. This project uses deep learning techniques, specifically
Kumbhar Aditi +4 more
doaj +1 more source
Image Classification by Tensorflow
International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: The task of relating what an image represents is called image bracket. An image bracket model is trained to fete colorful classes of images. For illustration, you may train a model to fete prints representing three different types of creatures rabbits, pussycats, and tykes .
Kashif Shaikh +4 more
openaire +1 more source
Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach
Advanced Intelligent Systems, EarlyView.Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera +2 more
wiley +1 more source
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
Advanced Intelligent Systems, EarlyView.This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source
Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope, and Image Processing
IEEE Access, 2020 Sleepiness detection system that evaluates driver's sleepiness level has always been the primary interest of researchers. There are a number of systems like electroencephalography-based sleepiness detection system (ESDS), vehicle based sleepiness ...
Naveen Senniappan Karuppusamy +1 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This work presents a hybrid model for predicting the electrical characteristics of fin‐shaped field‐effect transistor devices and SRAM with line edge roughness. The model consists of a convolutional neural network (CNN) and an analytical model that simulates the electrical characteristics of transistors using the outputs of CNN, enabling fast and ...
Jaehyuk Lim +4 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A computational framework for optimizing strain sensor placement in wearable motion tracking systems is presented. By combining dense strain mapping with a genetic algorithm, the method discovers counterintuitive yet highly effective configurations that reduce joint angle error by 32%.
Minu Kim +4 more
wiley +1 more source
A Fully Soft Sensing Suit With Optimal Sensor Placement for Real‐Time Motion Tracking
Advanced Intelligent Systems, EarlyView.A fully soft, skin‐conformable sensing suit integrating stretchable sensors, liquid metal wiring, and soft electrodes was developed using direct ink writing, with sensor placement optimized through an automated algorithmic pipeline. This system enables accurate and unobtrusive real‐time motion tracking, providing a scalable, material‐based solution to ...
Jinhyeok Oh, Joonbum Bae
wiley +1 more source
ControlIt: A Universal Framework for Translational, Adaptive, and Online Brain–Computer Interfaces
Advanced Intelligent Systems, EarlyView.Brain–computer interfaces (BCIs) lack a unified platform that works across signals and algorithms. ControlIt, an open‐source, modular ROS2‐based BCI framework supporting electroencephalography (EEG), electrocorticography (ECoG), and spike‐based decoding across both classification and regression tasks is presented.
Wanlin Yang +12 more
wiley +1 more source