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Toplam kayıt 2116, listelenen: 2091-2100
Promoting sustainability in developing Countries: A Machine Learning-based approach to understanding the relationship between green investment and environmental degradation
(Elsevier Inc., August 202)
The main objective of this study is to examine the impact of green investment on environmental degradation in developing countries using machine learning-based estimation combined with robustness tests of static and dynamic ...
Gluconic Acid Production by Using Recombinant Escherichia coli Waksman pqq+ Cells with a Novel Approach from Biomass Sources
(PubMed Disclaimer, 2024 May 9)
Gluconic acid (GA) is widely used in the pharmaceutical, food, detergent, textile, leather, and concrete industries. However, cost-effective and high-yield production of GA remains a challenge. Due to currently high raw ...
Optimizing customer service with chatbots
(IGI Global, 15 April 2)
This chapter explores the intricate domain of enhancing customer service through strategically employing chatbots. It thoroughly investigates diverse optimization techniques, underscoring the vital role of refining chatbot ...
Potato leaf disease detection with a novel deep learning model based on depthwise separable convolution and transformer networks
(Elsevier Ltd, July 2024)
Early diagnosis of plant diseases is essential in reducing economic losses for farmers and increasing production efficiency. Therefore, Computer-Aided Diagnosis (CAD) systems supported by artificial intelligence technologies ...
Thenovel numerical solutions for conformable fractional Kuramoto-Sivashinsky equations by using Cq-HATM and CHPETM
(Alexandria Engineering Journal, April 2024)
The present study used the novel conformable fractional methods to examine the nonlinear Kuramoto-Sivashinsky equations of the conformable fractional derivative. The Kuramoto-Sivashinsky equation is a mathematical model ...
Disease Burden and Sexual Life Experiences of Individuals with Chronic Obstructive Pulmonary Disease: A Phenomenological Study
(Springer, 2024)
This study aimed to examine the disease burden encountered by individuals with COPD, with a comprehensive investigation of the effect of the disease on sexual life. In this study, a phenomenological research design, a ...
Exploring the enablers for building resilience in solar photovoltaic Energy supply chains
(Springer, 2024)
A solar photovoltaic energy supply chain (SPvESC) is a global network with several linkages, including mineral and metal mining, material processing, and module and panel manufacturing. Due to the wide range of uncertainties ...
Improving brain tumor classification with combined convolutional neural networks and transfer learning
(Elsevier B.V., 5 Septembe)
Brain tumors pose a serious threat, causing the deaths of thousands of people worldwide, and can lead to life-threatening consequences when not accurately diagnosed. The classification of brain tumors and the determination ...
Assessment of Anticholinergic and Antidiabetic Properties of Some Natural and Synthetic Molecules: an In Vitro and In Silico Approach
(Bentham Science, 2023)
Introduction: In this study, it was aimed to determine the in vitro and in silico effects of some natural and synthetic molecules on acetylcholinesterase (AChE), butyrylcholinesterase (BChE) and α-glucosidase enzymes.
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Measurement-based V2V propagation modeling in highway, suburban, and urban environments
(Elsevier Inc., August 202)
Vehicle-to-vehicle (V2V) communication is one of the promising communication applications designed to optimize traffic conditions and has played a crucial role in the improvement of intelligent transportation technologies. ...