Research result. Information technologies
Volume 11, Issue №3, 2026
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INFORMATION SYSTEM AND TECHNOLOGIES
APPLICATION OF INTEGRAL APPROXIMATION TO MULTIMODAL FUNCTIONS
The article proposes the method of integral approximation as an effective tool for simplifying the relief of complex functions arising in numerical optimization problems. Traditional optimization ...
AUTOMATION AND CONTROL
DEVELOPMENT OF A WEB INTERFACE FOR ADMINISTRATIVE MANAGEMENT OF A DISTRIBUTED NETWORK OF BATTERY AND ACCUMULATOR COLLECTION DEVICES BASED ON THE RESTFUL API
The relevance of the study is associated with the increasing environmental burden from spent batteries and accumulators containing toxic metals. The level of public involvement in ...
ARTIFICIAL INTELLIGENCE AND DECISION MAKING
APPLYING MACHINE LEARNING TECHNIQUES TO THE DEVELOPMENT OF ASSISTIVE INTELLIGENT SYSTEM FOR THE HEARING IMPAIRED
The paper proposes an intelligent assistive system for Deaf and Hard-of-Hearing users designed to transform acoustic information into a visually accessible form. The study is motivated by the ...
OPTIMIZATION OF A HYBRID SEARCH ALGORITHM IN TEXT CORPUSA BASED ON MULTI-LEVEL RELEVANCE METRICS
The relevance of this research stems from the exponential growth of unstructured text data and the increasing demands on the speed and relevance of its processing ...
INVESTIGATION OF A STOCK PRICE FORECASTING METHOD BASED ON EUCLIDEAN DISTANCE
This article examines a stock price forecasting method based on Euclidean distance. It discusses the widespread use of Euclidean distance in science, specifically exploring its applications ...
VALIDITY ASSESSMENT OF PUBLIC MRI DATASETS FOR NEURO-ONCOLOGICAL ABNORMALITY DETECTION: UNCOVERING CRITICAL DATA QUALITY ISSUES
The reliability of machine learning models in high-stakes applications like brain tumor diagnosis depends critically on the quality of training data. This paper presents a forensic ...
PARALLELIZATION OF COMPUTATIONS IN LIQUID NEURAL NETWORKS WITH PRESERVATION OF STABILITY GUARANTEES
Liquid neural networks (LNNs) are a class of continuous machine learning models in which the evolution of a hidden state is described by a system of ...
INNOVATIVE METHODS A ND LINGUISTIC APPROACHES OF AI FOR OVERCOMING PSYCHOLOGICAL TRAUMA
The relevance of implementing intelligent computing platforms in psychiatry and clinical psychology is dictated by the urgent need to improve existing diagnostic and therapeutic strategies, especially ...
COMPUTER SIMULATION
DESCRIPTION OF A COMBINATORIAL ALGORITHM FOR ENUMERATING ORDERED MULTIPLICATIVE FACTORIZATIONS
The article is devoted to solving a typical combinatorial problem – a systematic enumeration of all objects of a certain type. The decomposition of an integer ...
