Search Results

Web servers are the backbone of modern Internet infrastructure, serving as the primary medium for online information distribution. Despite their critical role, web servers are susceptible to cyber-attacks. While current firewall mechanisms provide some ...

A novel frequency regime of the spectrum from 0.1 to 10 THz enables an emerging paradigm of modern wireless communication referred as 6G communication networks. However, to assure the success of 6G communication networks, ever‐growing ...

A new frequency range from 0.1 to 10 THz enables a new paradigm of modern wireless communication referred as 6G. To assure the success of 6G and beyond, ever‐growing development and deployment of nano‐machines, leading to ultra‐dense nano‐network, is ...

Brushless direct current motor ceiling fans (BLDCM-CFs) are becoming popular day by day due to their high performance and also compatibility with a 48V DC-grid. However, these CFs are still in developing phase and costly. Conventionally available 48V DC ...

• CattleAssigner is a framework for accurate assignment of global cattle into respective lineages (African or European or Indicine or admixed) and populations.
• Two statistical and two machine learning algorithms were used to develop low-...

Assigning individual animals to their respective breeds, populations or lineages has immense significance in the evolutionary analyses of global cattle populations besides detecting the underlying genetic variation that may likely have ...

The paper proposes a novel segmentation strategy for kidney glomeruli detection. The algorithm was developed using a data set from the Kidney Pathology Image Segmentation (KPIs) challenge, which has the objective of accurate identification of ...

A wave packet enriched finite element (FE) formulation featuring electrothermomechanical coupling is presented for solving two-dimensional wave propagation problems in functionally graded elastic and piezoelectric media. The FE equations for the ...

• Wave packet enriched finite element developed for wave propagation problems in functionally graded media.
• Accurately captures the sharp discontinuities at wavefronts in the solutions of thermoelectric shock problems.
• Considers Mori-...

Every second, millions of cells within our bodies exchange critical messages. Yet, amidst this swarming molecular dialogue, miscommunications often occur, leading to misdiagnosis and ineffective treatments. Over 30% of therapeutic molecules fail ...

This paper considers the scenario in which there are multiple institutions, each with a limited capacity for candidates, and candidates, each with preferences over the institutions. A central entity evaluates the utility of each candidate to the ...

We study the classical load balancing problem in a fully dynamic setting where jobs both arrive and depart. Each job can only be assigned to a subset of machines and can be reassigned at any time step. The goal is to maintain a near-optimal ...

Marimuthu and Mahapatra (Soft Comput 25:9859–9871, 2021) claimed that several methods are proposed in the literature to solve such multi-criteria decision-making problems in which the rating value of each alternative over each attribute is ...

Quantum machine learning (QML) can be employed in solving complicated machine learning tasks although the performance in examining the regression processes is only barely understood. Knowledge gaps are intended to be closed by studying modelling ...

Knowledge gaps are intended to be closed by studying the modelling performance of QML in regression tasks, with emphasis being dedicated to scaling up and the ability to resist noise. The regression part offers the following functions that include ...

Moges et al. (Inf. Sci. 625 (2023) 457–475) proposed a method to find a Pareto-optimal solution (POS) of intuitionistic fuzzy multi-objective linear fractional optimization problem (MOLFOP). In this method, firstly, an intuitionistic fuzzy MOLFOP ...

Breast cancer poses a threat to women’s health and contributes to an increase in mortality rates. Mammography has proven to be an effective tool for the early detection of breast cancer. However, it faces many challenges in early breast cancer ...

In this study, we employ explainable machine learning (ML) models to predict daily streamflow ($Q_{\mathrm{flow}}$) by leveraging hydro-meteorological parameters. The predictive matrix incorporates crucial factors such as daily rainfall, temperature, relative ...${}_{\mathrm{}}$${}_{\mathrm{}}$${}_{\mathrm{}}$${}_{\mathrm{}}$

In this study, we utilized the CST Microwave Studio Suite to create a highly directive microstrip antenna tailored for a diverse range of wireless applications, including microwave imaging. Antennas intended for directive purposes necessitate a gain ...

Recently there has been a notable increase in interest in Internet of Things (IoT)-based smart cities from both business and academia. Smart cities can offer a range of smart apps, such as intelligent transportation, 4.0 industry, and intelligent ...

The k-SERVER problem is one of the most prominent problems in online algorithms with several variants and extensions. However, simplifying assumptions like instantaneous server movements and zero service time has hitherto limited its applicability to ...

Coresets for k-means and k-median problems yield a small summary of the data, which preserves the clustering cost with respect to any set of k centers. Recently coresets have also been constructed for constrained k-means and k-median problems. However, ...

As millions of electric vehicle (EV) batteries are approaching the end of their useful life, enabling a circular economy for these batteries is crucial for curbing greenhouse gas emissions. While battery recycling is gaining momentum, repurposing ...

The continuous advancement of computer networks has given rise to grave concerns regarding security and susceptibility. Network administrators utilize intrusion detection systems (IDS) to deliver essential network security. Current IDS devices ...