Results 31 to 40 of about 1,147,869 (263)

A Systematic Review on NOMA Variants for 5G and Beyond

IEEE Access, 2021
Over the last few years, interference has been a major hurdle for successfully implementing various end-user applications in the fifth-generation (5G) of wireless networks.
Ishan Budhiraja, Neeraj Kumar, Sudhanshu Tyagi, Sudeep Tanwar, Zhu Han, Md. Jalil Piran, Doug Young Suh   +6 more
doaj   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

FEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

Combined compression and encryption of linear wireless sensor network data using autoencoders

Scientific Reports
In a linear wireless sensor network (LWSN), sensor nodes are deployed in a linear fashion to monitor and gather data along a linear path or route. Generally, the base station collects the data from the contiguously placed nodes in the same order.
N. Shylashree, Sachin Kumar, Hong Min
doaj   +1 more source

Dynamic and low-dimensional modeling of brain functional connectivity on Riemannian manifolds

NeuroImage
Modeling brain functional connectivity (FC) is key in investigating brain functions and dysfunctions. FC is typically quantified by symmetric positive definite (SPD) matrices that are located on a Riemannian manifold rather than the regular Euclidean ...
Mingyu Wang, Yueming Wang, Yuxiao Yang
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Experimental investigation on high-efficiency milling of silicon carbide ceramics by high-energy rotary coupled nanosecond laser

Journal of Materials Research and Technology
Reaction-bonded silicon carbide (SiC) ceramics are widely employed in advanced industrial applications due to their exceptional mechanical and physicochemical properties.
Manxiao Zhang, Xiaoxiao Chen, Qi Li, Hailing Chen, Shunquan Shen, Wenwu Zhang   +5 more
doaj   +1 more source

Explainable Mental Health Chat Support using MKO-DEBiGRU with Knowledge Graph and SHAP [PDF]

ITM Web of Conferences
Recently, mental health chat support has become increasingly important for providing timely assistance and guidance to users seeking psychological assistance.
Nagarathna P., Thalla Srujana, Patil Sujata, Reddy K Phanindra   +3 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Developing an Intelligent Resume Screening Tool With AI‐Driven Analysis and Recommendation Features

Applied AI Letters
Current resume screening relies on manual review, causing delays and errors in evaluating large volumes of resumes. Lack of automation and data extraction leads to inefficiencies and potential biases.
K. L. Abhishek, M. Niranjanamurthy, Shonit Aric, Syed Immamul Ansarullah, Anurag Sinha, G. Tejani, Mohd Asif Shah   +6 more
doaj   +1 more source

The AENEAS Project: Intraoperative Anatomical Guidance Through Real-Time Landmark Detection Using Machine Vision

Mayo Clinic Proceedings: Digital Health
Objective: To investigate the performance of a deep learning machine vision-based model in identifying anatomical landmarks in a complex microsurgical setting, such as the pterional trans-Sylvian approach.
Simone Olei, MD, Gary Sarwin, MSc, Victor E. Staartjes, MD, PhD, Luca Zanuttini, MD, Seungjun Ryu, MD, Luca Regli, MD, Ender Konukoglu, PhD, Carlo Serra, MD   +7 more
doaj   +1 more source