Search
Search Results
-
Exploring the dynamics of ICT and globalization on human development in India: asymmetric analysis and policy implications
The present study examines the asymmetrical relationship among globalization (GLB), information communication and technology (ICT), and human...
-
Application of neural networks to predict indoor air temperature in a building with artificial ventilation: impact of early stop**
Indoor air temperature prediction can facilitate energy-saving actions without compromising the indoor thermal comfort of occupants. The aim of this...
-
Analyzing processing time and load factor: 5-node mix network with ElGamal encryption and XOR shuffling
To provide anonymous communication, this paper proposes the implementation of a 5-node mix network using ElGamal encryption and XOR Shuffling. An...
-
VLSI realization of hybrid fast fourier transform using reconfigurable booth multiplier
A discrete fourier transform (DFT) of a series of samples may be quickly and efficiently computed with the use of a mathematical procedure known as...
-
Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling
The paper presents a new feature selection technique developed in detail here to address improved prediction accuracy not only for the...
-
Optimal feature with modified bi-directional long short-term memory for big data classification in healthcare application
Artificial intelligence together with its applications are advancing in all fields, particularly medical science. A considerable quantity of clinical...
-
Intelligent Personality Assessment and Verification from Handwriting using Machine Learning
It is possible to tell a lot about a person just by looking at their handwriting. The way someone writes might tell you a lot about who, they are as...
-
L2XGNN: learning to explain graph neural networks
Graph Neural Networks (GNNs) are a popular class of machine learning models. Inspired by the learning to explain (L2X) paradigm, we propose L2xGnn , a...
-
Explainable dating of greek papyri images
Greek literary papyri, which are unique witnesses of antique literature, do not usually bear a date. They are thus currently dated based on...
-
Compressed sensing: a discrete optimization approach
We study the Compressed Sensing (CS) problem, which is the problem of finding the most sparse vector that satisfies a set of linear measurements up...
-
Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems
We address a general optimization problem involving the minimization of a composite objective functional defined over a class of probability...
-
Signal processing implementation of low-cost target speed detection of CW radar using FPGA
The low-cost Continuous Wave (CW) radar architecture for object speed detection is presented in this research. An FPGA (Field-Programmable Gate...
-
A robust method for malware analysis using stacking classifiers and dendrogram visualization
Malware analysis is a vital and challenging task in the ever-changing cyber threat landscape. Traditional signature-based methods cannot keep up with...
-
Regional bias in monolingual English language models
In Natural Language Processing (NLP), pre-trained language models (LLMs) are widely employed and refined for various tasks. These models have shown...
-
Conformal predictions for probabilistically robust scalable machine learning classification
Conformal predictions make it possible to define reliable and robust learning algorithms. But they are essentially a method for evaluating whether an...
-
Neural discovery of balance-aware polarized communities
Signed graphs are a model to depict friendly ( positive ) or antagonistic ( negative ) interactions (edges) among users (nodes). 2-Polarized-Communities (
-
Aggregating the response in time series lag models using quad weight kernel: impact of environmental factors on schizophrenia admissions
There has been a growing apprehension in the past few years concerning the issue of pollution and climate change. Several articles have shown the...
-
A novel method for measuring center-axis velocity of unmanned aerial vehicles through synthetic motion blur images
Accurate velocity measurement of unmanned aerial vehicles (UAVs) is essential in various applications. Traditional vision-based methods rely heavily...
-
Permutation-invariant linear classifiers
Invariant concept classes form the backbone of classification algorithms immune to specific data transformations, ensuring consistent predictions...
-
Electromagnetic properties of coal using microstrip and an algorithm based on the Nicolson-Ross-Weir method
The work implements an experimental methodology to find the dielectric parameters: electrical permittivity, effective permittivity, magnetic...