Results 181 to 190 of about 475,129 (368)
An efficient deep learning model for brain tumour detection with privacy preservation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman +8 more
wiley +1 more source
Deterministic fractals and fractal measures
, 1991 This is a survey paper on the general theory of fractals and fractal measures containing several proofs and exercises. It has the style of Lecture Notes and is suitable for a short introduction on this subject. The paper is concentrated on questions which have not been completely worked out in the main reference books of this subject as are \textit{K ...
openaire +2 more sources
Ecography, EarlyView.Animals redistribute elements throughout their lives by depositing wastes and carcasses. Growing evidence shows that these zoogeochemical processes enhance landscape diversity and heterogeneity worldwide. We provide a descriptive framework for understanding how direct animal depositions (i.e.
Kristy M. Ferraro, Janey R. Lienau
wiley +1 more source
Image‐Based Quantification of Deposited Lithium on Li Metal Surfaces
Energy Technology, EarlyView.Images of lithium deposition in a Li||Li in situ cell are recorded. Two evaluation algorithms, a rule‐based approach and a neural network‐based approach, are designed and then used to evaluate the lithium deposition process. These algorithms allow to quickly and objectively assess and quantify the lithium deposition process, determining its physical ...
Hannes Kühnle +4 more
wiley +1 more source
Weather forecasting: Storm hunting with fractals [PDF]
, 1986 A. Hollingsworth
openalex +1 more source
An algorithm for seizure detection in rodents
Epilepsia Open, EarlyView.Abstract Objective Epilepsy animal research often relies on long‐term intracranial electroencephalographic (iEEG) recordings. Here, we describe an artificial neural network (ANN) algorithm for automatic detection of seizures. Methods The algorithm was trained on iEEG recordings of three mouse models of chronic epilepsy: (1) the pilocarpine model of ...
Lyna Kamintsky +9 more
wiley +1 more source
Therapeutics and Clinical Risk Management, 2018 Jiunn-Song Jiang,1,2 Chew-Teng Kor,3 David Dar Kuo,4 Ching-Hsiung Lin,5,6 Chia-Chu Chang,7,8 Gau-Yang Chen,9,10 Cheng-Deng Kuo5,11 1Department of Internal Medicine, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan; 2Departments of Internal Medicine,
Jiang JS +6 more
doaj
Energy Science &Engineering, EarlyView.Based on actual goaf conditions, a porosity evolution model considering the superimposed effects of stress–temperature–moisture interactions was developed and experimentally validated using a confined fractured coal mass low‐temperature oxidation testing system simulating goaf scenarios.
Boning Jiang +6 more
wiley +1 more source