Results 41 to 50 of about 1,278,781 (270)

Temporal perception of visual-haptic events in multimodal telepresence system [PDF]

open access: yes, 2010
Book synopsis: Haptic interfaces are divided into two main categories: force feedback and tactile. Force feedback interfaces are used to explore and modify remote/virtual objects in three physical dimensions in applications including computer-aided ...
Muller, Hermann J., Shi, Z., Zou, H.
core   +1 more source

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács   +8 more
wiley   +1 more source

Securing E-governance: a blockchain-based framework for tamper-proof PDF document exchange

open access: yesFrontiers in Blockchain
E-governance depends on the secure exchange of digital documents, with PDFs widely used for official communication. However, threats such as shadow attacks and policy tampering undermine integrity and trust.
Priyanka Mishra, R. Ganesan
doaj   +1 more source

Variable binding, symmetric monoidal closed theories, and bigraphs [PDF]

open access: yes, 2009
This paper investigates the use of symmetric monoidal closed (SMC) structure for representing syntax with variable binding, in particular for languages with linear aspects.
A. Barber   +16 more
core   +4 more sources

Adherence to Protocol Recommendations for Children With Wilms Tumour in Two Consecutive Studies in the United Kingdom and Ireland—Does Variation Matter?

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait   +23 more
wiley   +1 more source

Lightweight scalable deep learning framework for real time detection of potato leaf diseases

open access: yesScientific Reports
Potato leaf diseases, if left undetected, threaten food security in agricultural economies and cause substantial crop losses. To address this critical challenge, we developed an AI-based system called the Enhanced Single Shot Multibox Detector(EF-SSD), a
Girigula Durga Bhavani   +1 more
doaj   +1 more source

Reducing Hallucinations in Legal AI: A Retrieval Augmented Generation-Based Model for Accurate Legal Guidance

open access: yesIEEE Access
With the emergence of Large Language Models (LLMs) in the field of Generative Artificial Intelligence (AI), many industries have been significantly transformed, including the legal sector.
Shreya Gupta   +4 more
doaj   +1 more source

IMPROVING PREDICTION OF DEPRESSION AN ANALYTICAL COMPARISON BETWEEN HYBRID AI, MACHINE LEARNING AND DEEP LEARNING APPROACHES [PDF]

open access: yesProceedings on Engineering Sciences
This research includes an original comparative evaluation of machine learning (ML) and deep learning (DL) tactics, further developing through the building of integrated artificial intelligence frameworks. Our goal is to improve forecasting approaches for
Kanchapogu Naga Raju   +1 more
doaj   +1 more source

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson   +3 more
wiley   +1 more source

Neurovision: A deep learning driven web application for brain tumour detection using weight-aware decision approach

open access: yesDigital Health
In recent times, appropriate diagnosis of brain tumour is a crucial task in medical system. Therefore, identification of a potential brain tumour is challenging owing to the complex behaviour and structure of the human brain.
Thota Rishik Sai Santhosh   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy