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The identification, preservation, analysis, and presentation of electronic evidence to support legal or organizational inquiries constitute the discipline of digital forensics, which is crucial to contemporary investigat...

The success of MSMEs in developing the sustainability-based halal fashion sector will largely depend on the implementation of effective strategies, as well as their ability to compete in the local and international marke...

The rapid proliferation of digital devices has generated vast amounts of data, presenting significant challenges in collection, processing, and analysis that traditional systems struggle to overcome. This study investiga...

Trajectory reconstruction from sparse and noisy GPS data is critical for applications such as urban mobility analysis, transportation planning, and navigation systems. However, large sampling intervals and the typically ...

This article explores the important issue of finding the best location for a retail store. The study focuses on using geographic information system (GIS) modeling to choose a location for an «Epicentr» chain store in K...

Conjugate gradient method (CGM) is one of the most efficient numerical methods for solving unconstrained optimization problems. It is also known as an iterative method with simple formulation. The classical CGM has alway...

The article is devoted to methodological and practical dimensions of statistical assessment of the effect, efficiency, and intensity of the hotel & tourism industry in Ukraine. The aggravated social and economic crisis,...

The purpose of the article is to assess the tourism attractiveness of Poltava District, Poltava Region, using GISbased analysis, and to identify the spatial distribution of key tourism resources and infrastructure across...

Notwithstanding significant efforts to reduce the risk of bird strikes at and around airports, as well as advancements in technology, aviation safety continues to be threatened by this hazard. Our study of recent data sh...

The Israel-Palestine conflict which has persisted for decades drives mounting global interest that consequently influences public opinion worldwide. This article examines the sentiment analysis of X (Twitter) data pertai...

Abstract Proposed research presents a data-driven framework for forecasting municipal solid waste (MSW) generation and emission dynamics in Erode City, India, by employing supervised machine learning algorithms. Leveragi...

This study aims to determine the effect of work climate, work discipline, and workload on employee job satisfaction at the Environmental and Forestry Service of the Special Region of Yogyakarta. The method used in this s...

The study examines the directions of development of the European food market and identifies the probable trends of its further transformation. It reveals the main tendencies of Ukraine’s agri-food foreign trade in the ...

Understanding how consumers behave in e-commerce is essential for businesses, especially in today’s digital world where people rely heavily on online shopping platforms. A key part of this understanding comes from sent...

This paper analyzes the statistical toolkit of Eurostat for collecting and processing data on the implementation of Artificial Intelligence (AI) in enterprises across European Union (EU) countries. The study defines the ...

The article analyzes the typology of agricultural holdings within the Farm Accountancy Data Network (FADN) and its impact on the formation of the common agricultural policy. The study emphasizes the importance of FADN as...

This study investigates the possibility of incorporating Gresik local cultural wisdom into character education lessons to achieve the Pancasila student profile. This research technique uses a qualitative research approac...

Artificial intelligence (AI), notably embodied in ChatGPT, has transformed various sectors, including education and content creation. Initially conceptualized in the 1950s, AI’s integration into education has facilitat...