Results 81 to 90 of about 3,002 (288)

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, Arslan Shafique, Imdad Ullah Khan, Yazeed Yasin Ghadi, Jawad Ahmad, Mohammed S. Alshehri, Mimonah Al Qathrady, Majed Alhaisoni, Muhammad H. Zayyan   +8 more
wiley   +1 more source

Atypical Predictive Processing Is Associated With Sensory Over‐Responsivity in Autism

Autism Research, EarlyView.
ABSTRACT Autism is characterized by sensory processing atypicalities including sensory over‐responsivity (SOR), a heightened negative response to sensory stimuli. Although the neural mechanisms underlying SOR are not fully understood, SOR has been associated with sensory‐limbic hyper‐reactivity during sensory stimulation.
Bar Yosef, Valerie Burgess, Megan Banchik, Joshua Ceballos, Mirella Dapretto, Shulamite Green   +5 more
wiley   +1 more source

Chlorella vulgaris biorefineries: sustainable biofuels and high‐value carbon capture

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract Global reliance on fossil fuels has created urgent economic and environmental challenges, yet large‐scale use of algal biomass remains limited by production costs. Industrial scaling is constrained by inefficient harvesting and the technical challenges of processing recalcitrant cell walls.
Sandyelle Ferreira Alcântara Araújo, Antonio Átila Menezes Ferreira, Lucia Andrea Sindeaux de Oliveira, Dayana Nascimento Dari, Devany Quintela Soares, Eliana Elisa Francelino Mavie, Francisco Leonardo Alves de Moraes Sousa, Jessica Lopes da Silva, João Vitor Gomes de Araújo Silva, Thiago Queiroz da Silva, Ana Karine Portela Vasconcelos, Kelma Maria dos Santos Pires Cavalcante, John Hebert da Silva Felix, José Cleiton Sousa dos Santos   +13 more
wiley   +1 more source

RBF neural network based shape control of hyper-redundant with constrained end-effector

, 2006
Hyper-redundant manipulator has more degrees of freedom than the least necessary to perform a given task, thus it has the features of overcoming conventional industrial robot's limitation to carry out a designated difficult task. When the manipulator
Liu JG(刘金国), Ma SG(马书根), Wang YC(王越超), Li B(李斌)   +3 more
core  

Mindfulness and resilience: The experiences of global majority students in a mindfulness intervention Programme at a UK university

British Educational Research Journal, EarlyView.
Abstract Wellbeing in higher education (HE) in the United Kingdom has been increasingly prioritised for many institutions, with a growing demand for student support requests. There are various determinants in life that can influence mental health. As such, protected characteristics, including race, can indicate that students who are Black or Asian ...
Amy Bywater, Helen Keane
wiley   +1 more source

A Bidirectional Human-Machine Control Interface Based on Virtual Fixtures for Safe Teleoperation of Hyper-Redundant Robots

IEEE Access
In confined and hazardous environments where human access is severely limited, hyper-redundant manipulators play a crucial role in preserving operator safety and mitigating operational risks. Their numerous degrees of freedom and compact design make them
Ludovica Capodivento, Tommaso Borzone, Tiberio Grasso, Clemente Lauretti   +3 more
doaj   +1 more source

Master-slave teleoperation method of redundant manipulator

, 2013
This paper introduces a master-slave control method of teleoperating a redundant manipulator with double handles. The master handles send motion commands in the form of increments. The mapping module transforms the commands into homogeneous matrices. And
Chen Y(陈洋), Chen P(陈鹏)
core  

Do Governance Structures Drive Green Building Adoption? A Machine Learning Approach With Random Forests

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez, José Manuel Santos‐Jaén, María Estefanía Sánchez Pacheco, Fernando José Zambrano Farías   +3 more
wiley   +1 more source

Why Are Consumers Ambivalent About AI‐Generated Images? The Moderating Role of Commercial Versus Noncommercial Content Type

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Grounded in ambivalence theories, this research examined factors shaping consumer ambivalence toward AI‐generated content and investigated differences between commercial and noncommercial contexts. As a preliminary study, sentiment analysis of Reddit data using a support vector machine (SVM) revealed that most consumer sentiment toward AI ...
Garim Lee, Jinsu Park, Hye‐Young Kim, Divya Manoj   +3 more
wiley   +1 more source

Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network

IET Networks, EarlyView., 2022
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley   +1 more source