[HTML][HTML] Condition monitoring using machine learning: A review of theory, applications, and recent advances
In modern industry, the quality of maintenance directly influences equipment's operational
uptime and efficiency. Hence, based on monitoring the condition of the machinery, predictive …
uptime and efficiency. Hence, based on monitoring the condition of the machinery, predictive …
[HTML][HTML] When brain-inspired ai meets agi
Abstract Artificial General Intelligence (AGI) has been a long-standing goal of humanity, with
the aim of creating machines capable of performing any intellectual task that humans can …
the aim of creating machines capable of performing any intellectual task that humans can …
[PDF][PDF] A comparative study of business intelligence and artificial intelligence with big data analytics
JP Bharadiya - American Journal of Artificial Intelligence, 2023 - researchgate.net
Business intelligence systems give important and competitive information to business
planners and decisionmakers by combining operational and historical data with analytical …
planners and decisionmakers by combining operational and historical data with analytical …
Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey
Since December 2019, the coronavirus disease (COVID-19) outbreak has caused many
death cases and affected all sectors of human life. With gradual progression of time, COVID …
death cases and affected all sectors of human life. With gradual progression of time, COVID …
Application of artificial intelligence in food industry—a guideline
Artificial intelligence (AI) has embodied the recent technology in the food industry over the
past few decades due to the rising of food demands in line with the increasing of the world …
past few decades due to the rising of food demands in line with the increasing of the world …
[HTML][HTML] Development of smart aquaculture farm management system using IoT and AI-based surrogate models
MC Chiu, WM Yan, SA Bhat, NF Huang - journal of Agriculture and Food …, 2022 - Elsevier
Due to low labor participation by young adults and an aging agricultural population, Taiwan
and the rest of the world are facing labor shortages in agriculture, which will affect …
and the rest of the world are facing labor shortages in agriculture, which will affect …
Distributed denial of service attack prediction: Challenges, open issues and opportunities
Abstract Distributed Denial of Service (DDoS) attack is one of the biggest cyber threats.
DDoS attacks have evolved in quantity and volume to evade detection and increase …
DDoS attacks have evolved in quantity and volume to evade detection and increase …
Mixture design methods for ultra-high-performance concrete-a review
A highly efficient mixture design should have a good balance among workability, strength,
durability, economic efficiency, and sustainability. Ultra-high-performance concrete (UHPC) …
durability, economic efficiency, and sustainability. Ultra-high-performance concrete (UHPC) …
Reactive power management in renewable rich power grids: A review of grid-codes, renewable generators, support devices, control strategies and optimization …
Power electronic converter (PEC)-interfaced renewable energy generators (REGs) are
increasingly being integrated to the power grid. With the high renewable power penetration …
increasingly being integrated to the power grid. With the high renewable power penetration …
[HTML][HTML] Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes
Background Diabetes mellitus (DM) is a metabolic disorder that causes abnormal blood
glucose (BG) regulation that might result in short and long-term health complications and …
glucose (BG) regulation that might result in short and long-term health complications and …