Results 161 to 170 of about 30,621 (198)

Revisiting convolutional design for efficient CNN architectures in edge-aware applications. [PDF]

Sci Rep
Korkmaz OE.
europepmc   +1 more source

Finding Minimum‐Cost Explanations for Predictions Made by Tree Ensembles

Software: Practice and Experience, EarlyView.
ABSTRACT The ability to reliably explain why a machine learning model arrives at a particular prediction is crucial when used as decision support by human operators of critical systems. The provided explanations must be provably correct, and preferably without redundant information, called minimal explanations.
John Törnblom, Emil Karlsson, Simin Nadjm‐Tehrani   +2 more
wiley   +1 more source

Systematic Learning and Pedagogy Through a Modular, Progressive‐Based Simulation Modeling Framework for Complex Systems

Systems Engineering, EarlyView.
ABSTRACT Smart Transportation Systems (SmTS) will exceed complex systems with their classification as complex, sociotechnical, and AI‐based systems. Possessing a toolkit that helps systemically understand, analyze, and assess these systems will be advantageous in the early stages of the systems engineering (SE) lifecycle, and Agent Based Models (ABMs ...
Ifezue V. Obiako, Sean B. Walker, Kari J. Lippert, Robert J. Cloutier   +3 more
wiley   +1 more source

An Adaptive Compression Method for Lightweight AI Models of Edge Nodes in Customized Production. [PDF]

Sensors (Basel)
Jiang C, Hou M, Wang H.
europepmc   +1 more source

Multi‐Modal Deep Feature Extraction and Classifier‐Level Integration for Brain Tumour Classification Using CT and MRI Image

Artificial Intelligence for Engineering, EarlyView.
This multi‐modal deep learning framework classifies brain tumours using multi‐backbone deep feature extraction and classifier‐level fusion from CT and MRI images. In extensive experiments, fused features from SqueezeNet, ResNet, and MobileNet combined with a neural network classifier outperform single‐modality and single‐model baselines and show that ...
N. Shyamala, S. Mahaboob Basha
wiley   +1 more source

Efficient Super-Resolution Bayesian Eletromagnetic Brain Imaging. [PDF]

IEEE Trans Biomed Eng
Cai C, Qi X, Yan J, Shang Y, Sekihara K, Wu W, Nagarajan SS.   +6 more
europepmc   +1 more source

Memory-efficient full-volume inference for large-scale 3D dense prediction without performance degradation. [PDF]

Commun Eng
Li J, Wu X.
europepmc   +1 more source

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source

Research on features selection of medical diagnostic models based on L-S-ACO algorithm. [PDF]

iScience
Wang P, Tan B, Fu Y, Zhu L, Sun X, Su W.
europepmc   +1 more source

A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Influence maximisation (IM) aims to select a small number of nodes that are able to maximise their influence in a network and covers a wide range of applications. Despite numerous attempts to provide effective solutions in simple networks, higher‐order interactions between entities in various real‐world systems are usually not taken into ...
Ming Xie, Chuang Liu, Yang Chen, Zi‐Ke Zhang, Xiaoyang Liu, Xiu‐Xiu Zhan   +5 more
wiley   +1 more source