[HTML][HTML] Internet of Things and Machine Learning techniques in poultry health and welfare management: A systematic literature review

RO Ojo, AO Ajayi, HA Owolabi, LO Oyedele… - … and Electronics in …, 2022 - Elsevier
The advent of digital technologies has brought substantial improvements in various
domains. This article provides a comprehensive review of research emphasizing AI-enabled …

The trends and challenges of fiber reinforced additive manufacturing

I Fidan, A Imeri, A Gupta, S Hasanov, A Nasirov… - … International Journal of …, 2019 - Springer
In the last few years, utilizing fiber reinforced additive manufacturing (FRAM)-based
components in several industries has become quite popular. Compared to conventional AM …

Введение в экспертные системы

П Джексон - 2015 - w2.ict.nsc.ru
При подготовке третьего издания книги Введение в экспертные системы автор
старался прежде всего учесть интересы и пожелания читателей четырех основных …

[图书][B] Data mining: concepts and techniques

J Han, J Pei, H Tong - 2022 - books.google.com
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and
methods for mining patterns, knowledge, and models from various kinds of data for diverse …

[图书][B] Conceptual structures: information processing in mind and machine

JF Sowa - 1984 - dl.acm.org
This is a very odd—but good—book. Its scope is almost as broad as that of any general text
on Artificial Intelligence (AI), but it is not an overview of issues and research in AI. Instead …

Multiagent learning: Basics, challenges, and prospects

K Tuyls, G Weiss - Ai Magazine, 2012 - ojs.aaai.org
Multiagent systems (MAS) are widely accepted as an important method for solving problems
of a distributed nature. A key to the success of MAS is efficient and effective multiagent …

Skill acquisition: Compilation of weak-method problem situations.

JR Anderson - Psychological review, 1987 - psycnet.apa.org
Cognitive skills are encoded by a set of productions, which is organized according to a
hierarchical goal structure. People solve problems in new domains by applying weak …

Computer‐aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI

Y Song, YD Zhang, X Yan, H Liu… - Journal of Magnetic …, 2018 - Wiley Online Library
Background Deep learning is the most promising methodology for automatic computer‐
aided diagnosis of prostate cancer (PCa) with multiparametric MRI (mp‐MRI). Purpose To …

Applying machine learning to the dynamic selection of replenishment policies in fast-changing supply chain environments

P Priore, B Ponte, R Rosillo… - International Journal of …, 2019 - Taylor & Francis
Firms currently operate in highly competitive scenarios, where the environmental conditions
evolve over time. Many factors intervene simultaneously and their hard-to-interpret …

[图书][B] Inside case-based reasoning

CK Riesbeck, RC Schank - 2013 - api.taylorfrancis.com
Introducing issues in dynamic memory and case-based reasoning, this comprehensive
volume presents extended descriptions of four major programming efforts conducted at Yale …