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Article
Open AccessBiosynthesis of copper nanoparticles using Solenostemma argel and their effect on enhancing salt tolerance in barley plants
The distinctive characteristics of nanoparticles and their potential applications have been given considerable attention by scientists across different fields, particularly agriculture. However, there has been...
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Article
Batch metaheuristic: a migration-free framework for metaheuristic algorithms
Metaheuristics have emerged as one of the prominent problem-solving methodologies to handle optimization problems as they can provide good quality solutions within acceptable time limits. Numerous studies have...
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Article
Vision-Enabled Large Language and Deep Learning Models for Image-Based Emotion Recognition
The significant advancements in the capabilities, reasoning, and efficiency of artificial intelligence (AI)-based tools and systems are evident. Some noteworthy examples of such tools include generative AI-bas...
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Article
Assessment of DevOps Lifecycle Phases and their Role in DevOps Implementation using Best–Worst MCDM
After DeBois popularized DevOps, there is now a focus on integrating software development and operations. However, DevOps lacks a widely accepted definition despite various interpretations in the literature. P...
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Article
Confluence metaheuristic: a novel initialization strategy for metaheuristic algorithms
Metaheuristics represent an evolving problem-solving methodology that has proven to be effective in addressing optimization problems across various fields. Over the years, researchers have continuously strived...
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Article
Parameter tuning in metaheuristics: a bibliometric and gap analysis
Parameters are an integral part of every metaheuristic algorithm as these control different aspects of algorithms. Thus, parameter tuning (PT) approaches are one of the prime sub-domains of metaheuristics. The...
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Article
A Novel Batch Framework-Based Performance Improvement of Evolutionary Algorithm
Evolutionary algorithms are widely used methodologies for problem-solving and are covered under the umbrella term of evolutionary computation (EC). They are stochastic techniques that take inspiration from nat...
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Article
Modified chaotic quadratic map with improved robust region
Chaotic systems are now employed in a variety of applications, including nonlinear control, Pseudo Random Number Generator (PRNG), encryption, and others. However, the majority of basic chaotic maps have a num...
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Chapter and Conference Paper
Transfer Learning-Based Speed Limit Traffic Sign Recognition with Multilingual Audio Alerts
In order to maintain road safety and effective traffic management, it is essential to recognize and classify traffic signs. With the rapid increment in the number of vehicles on the road, accurate and efficien...
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Article
Machine learning based predictive modeling to effectively implement DevOps practices in software organizations
Development and Operations (DevOps) is a relatively recent phenomenon that can be defined as a multidisciplinary effort to improve and accelerate the delivery of business values in terms of IT solutions. Many ...
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Article
Nature inspired optimization algorithms: a comprehensive overview
Nature performs complex tasks in a simple yet efficient way. Natural processes may seem straightforward from outside but are composed of several inherently complicated sub-processes. Inspired from nature, seve...
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Chapter and Conference Paper
Simulation Tools for Cloud Computing: A Comparative Study
Computing is evolving toward a paradigm that consists of commoditized services supplied in a way similar to conventional utilities. A variety of computing paradigms have been proposed to realize this goal, the...
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Article
Artificial Intelligence for Modelling the Wet Agglomeration Process of Fine Materials: A Survey
Industrial plants often report under-capacity production, primarily due to limited knowledge of the dynamics of underlying size enlargement process. Many researchers have used different techniques to capture t...
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Article
An Effective and enhanced RSA based Public Key Encryption Scheme (XRSA)
Cryptography is the mechanism of providing significant security services such as confidentiality, authentication, and integrity. These services are essentially more important in the current era, where lots of ...
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Chapter and Conference Paper
A Comparative Study of Learning Methods for Diabetic Retinopathy Classification
Diabetic retinopathy refers to a state of the human eye that affects retina blood vessels, causing vision impairment or even complete vision loss. In this paper, we classify DR fundus images into the presence ...
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Chapter and Conference Paper
Performance Evaluation of 2D CNN Optimizers for Lung and Colon Cancer Image Classification
The paper presents a convolutional neural network (CNN) based approach to classify lung cancer and colon cancer image dataset using two popular optimization algorithms: Adam and RMSprop. The lung cancer and co...
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Article
Open AccessBiosynthesis of zinc oxide nanoparticles using Phoenix dactylifera and their effect on biomass and phytochemical compounds in Juniperus procera
Biosynthesized nanoparticles have played vital role recently, as suggested to be alternative to physical and chemical methods. In this study, biosynthesis of zinc oxide nanoparticles (ZnO NPs) were carried out...
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Article
Open AccessMass propagation of Juniperus procera Hoechst. Ex Endl. From seedling and screening of bioactive compounds in shoot and callus extract
Juniperus procera Hoechst. ex Endl. is a medicinal tree in Saudi Arabia, primarily in the Enemas region, but it is locally threatened due to die-back disease and difficulties regarding seed reproduction (seed dor...
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Article
Effects of Religious Orientations on the Prevalence of Social Media Disorder Among Muslim University Students in Pakistan
The purpose of this study was to investigate the influence of religious orientations on the prevalence of social media disorder among Muslim university students in Pakistan. A total of 686 students (59.0% fema...
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Article
Open AccessBiosynthesis and characterization of silver nanoparticles using Ochradenus arabicus and their physiological effect on Maerua oblongifolia raised in vitro
Silver nanoparticles (AgNPs) are presently the most commonly generated engineered nanomaterials and are found in a wide range of agro-commercial products. The present study was designed to synthesize AgNPs bio...
