A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective
Artificial intelligence (AI) can bring both opportunities and challenges to human resource
management (HRM). While scholars have been examining the impact of AI on workplace …
management (HRM). While scholars have been examining the impact of AI on workplace …
Machine learning-based virtual screening and its applications to Alzheimer's drug discovery: a review
Background: Virtual Screening (VS) has emerged as an important tool in the drug
development process, as it conducts efficient in silico searches over millions of compounds …
development process, as it conducts efficient in silico searches over millions of compounds …
A review of autonomous agricultural vehicles (The experience of Hokkaido University)
A Roshanianfard, N Noguchi, H Okamoto… - Journal of Terramechanics, 2020 - Elsevier
Robotic farming will play an undeniably significant role in future sustainable agriculture.
Autonomous agricultural vehicles for arable crops and their components are reviewed …
Autonomous agricultural vehicles for arable crops and their components are reviewed …
[HTML][HTML] An integrated route and path planning strategy for skid–steer mobile robots in assisted harvesting tasks with terrain traversability constraints
This article presents a combined route and path planning strategy to guide Skid–Steer
Mobile Robots (SSMRs) in scheduled harvest tasks within expansive crop rows with …
Mobile Robots (SSMRs) in scheduled harvest tasks within expansive crop rows with …
[HTML][HTML] A comprehensive survey of unmanned ground vehicle terrain traversability for unstructured environments and sensor technology insights
This article provides a detailed analysis of the assessment of unmanned ground vehicle
terrain traversability. The analysis is categorized into terrain classification, terrain map** …
terrain traversability. The analysis is categorized into terrain classification, terrain map** …
Energy consumption prediction using machine learning; a review
Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …
advancement of the prediction models used for energy consumption. Such models highly …
[HTML][HTML] On misbehaviour and fault tolerance in machine learning systems
Abstract Machine learning (ML) provides us with numerous opportunities, allowing ML
systems to adapt to new situations and contexts. At the same time, this adaptability raises …
systems to adapt to new situations and contexts. At the same time, this adaptability raises …
Human-centered torque vectoring control for distributed drive electric vehicle considering driving characteristics
Most of the existing torque vectoring control (TVC) strategies are “vehicle-centered,” hence,
fail to consider how driving characteristics affect the vehicle's motion. To address this issue …
fail to consider how driving characteristics affect the vehicle's motion. To address this issue …
Advanced automation system for charging electric vehicles based on machine vision and finite element method
Electric vehicle (EV) technology proposed itself as a great solution for the predictable
shortage in traditional energy sources. Using wireless power transfer (WPT) technology for …
shortage in traditional energy sources. Using wireless power transfer (WPT) technology for …
A Comprehensive Overview of Control Algorithms, Sensors, Actuators, and Communication Tools of Autonomous All-Terrain Vehicles in Agriculture
This review paper discusses the development trends of agricultural autonomous all-terrain
vehicles (AATVs) from four cornerstones, such as (1) control strategy and algorithms,(2) …
vehicles (AATVs) from four cornerstones, such as (1) control strategy and algorithms,(2) …