We propose a Digit-Serial Left-tO-righT (DSLOT) arithmetic based process...
Large Language Models (LLMs) have shown excellent generalization capabil...
Machine learning algorithms are powerful tools for data driven tasks suc...
Kubernetes is a free, open-source container orchestration system for
dep...
Retinal eye diseases can lead to irreversible vision loss in both eyes i...
Multiplication is indispensable and is one of the core operations in man...
Accurate lung nodule segmentation is crucial for early-stage lung cancer...
Quantum machine learning (QML) has received increasing attention due to ...
The open source software (OSS) assessment has become important given the...
Machine learning (ML) methods such as artificial neural networks are rap...
In this study, we propose a lung nodule detection scheme which fully
inc...
Accurate segmentation of mandibular canals in lower jaws is important in...
Deep neural network (DNN) models, including those used in safety-critica...
Quantum algorithms based on variational approaches are one of the most
p...
Quantum computing is anticipated to offer immense computational capabili...
In this paper, we focus on the modification of policies that can lead to...
Recent breakthroughs in quantum hardware are creating opportunities for ...
Neural networks are successfully used in a variety of applications, many...
We present a pipelined multiplier with reduced activities and minimized
...
We study backdoor poisoning attacks against image classification network...
The efficacy of machine learning models is typically determined by compu...
Surface code error correction offers a highly promising pathway to achie...
Context: Systematic literature reviews (SLRs) have become standard pract...
In this research a novel stochastic gradient descent based learning appr...
We present NNrepair, a constraint-based technique for repairing neural
n...
Regulatory compliance is a well-studied area, including research on how ...
This paper presents NEUROSPF, a tool for the symbolic analysis of neural...
The prevalence of Diabetes mellitus (DM) in the Middle East is exception...
Obesity and being over-weight add to the risk of some major life threate...
Floorplans are commonly used to represent the layout of buildings. In
co...
The internet of things refers to the network of devices connected to the...
The massive deployment of IoT devices being utilized by home automation,...
Quantum computing is an emerging paradigm with the potential to offer
si...
A technique for object localization based on pose estimation and camera
...
Species living in the extreme cold environment fight against the harsh
c...
Security and privacy have become significant concerns due to the involve...
Accurate quantification of pulmonary nodules can greatly assist the earl...
Relational properties, e.g., the connectivity structure of nodes in a
di...
In the recent years of industrial revolution, 3D printing has shown to g...
Heart is one of the vital organs of human body. A minor dysfunction of h...
Due to the dynamic nature, chaotic time series are difficult predict. In...
A novel adaptive filtering method called q-Volterra least mean square
(q...
Multishot Magnetic Resonance Imaging (MRI) is a promising imaging modali...
In recent era, networks of data are growing massively and forming a shap...
Cross-lingual speech emotion recognition is an important task for practi...
Channel estimation is an essential part of modern communication systems ...
Multishot Magnetic Resonance Imaging (MRI) has recently gained popularit...
Feature descriptors involved in image processing are generally manually
...
The observation and management of cardiac features (using automated card...
The design of a building requires an architect to balance a wide range o...