Significant algorithms

Despite recent improvements in cancer detection and survival rates, managing cancer-related pain remains a significant challenge. The objective of this work was to select a panel of biomarkers of central pain processing and modulation and assess their ability to predict chronic pain in patients with cancer using predictive artificial intelligence (AI) algorithms.

11p vikoch 27-06-2024 1 1   Download

This article proposes an approach to solve that equilibrium problem based on analyzing population distribution during the evolutionary process to identify empty regions in which no solutions are selected. After that, information about empty regions with the most significant area will be combined with the current reference point to create a new reference point to prioritize choosing solutions in those regions.

12p visergeyne 18-06-2024 0 0   Download

This article presents an efficient hybrid approach based on Brotli and LZ4 compression algorithms to compress terrain data for deployment on resource-limited devices. Experimental results show that the proposed method significantly reduces the volume of terrain data compared to using each component algorithm independently while still ensuring quality.

9p viambani 18-06-2024 2 1   Download

This paper presents an extension of the Proportional Topology Optimization (PTO) with virtual elements for multi-material problems with mass and cost constraints. In particular, the linear virtual element method (VEM) is constructed on unstructured polygonal meshes. The linear VEM is desirable in the sense that numerical integration is not explicitly required, significantly reducing the computational effort.

24p dianmotminh02 03-05-2024 2 1   Download

This study employs the Bayesian Model Averaging (BMA) algorithm to evaluate input variable importance and select the most reliable salinity prediction model. Based on an analysis of observed salinity data and climate data extracted from Landsat 8 OLI in the Google Earth Engine platform, the BMA algorithm identifies the significance of critical variables and optimal salinity prediction models.

15p viohoyo 25-04-2024 3 2   Download

The present research and model is aimed at presenting an integrated multi-objective optimal supply chain model of Sepah Bank's green supply chain in terms of model uncertainty using meta-heuristic algorithms and providing a suitable conceptual framework. In this regard, a multiobjective optimization model is presented and solved using fireworks algorithms based on Pareto Archive and NSGA-II. The green banking phenomenon has emerged with the same purpose in the banking system of the world and today it has made significant progress in theoretical and operational aspects.

11p longtimenosee07 29-03-2024 2 2   Download

The main goal of the study is to develop methodological approaches to a formalized assessment of the impact of supply chain management and its individual components on the development parameters of key macroeconomic indicators of a region (for example, investment in fixed assets). Testing the proposed research algorithms made it possible to substantiate a high level of reputation significance in the formation of regional economic growth.

7p longtimenosee06 27-03-2024 5 2   Download

Part 2 book "Physical chemistry for chemists and chemical engineers - Multidisciplinary research perspectives" includes content: Fast qualitative inspection of designed experiments by means of the superposing significant interaction rules (SSIR) method; optimum selection of system of a gas cleaning with an economic efficiency estimation; genetic algorithms and their applications in different areas of engineering and science;... and other contents.

179p muasambanhan09 12-03-2024 2 0   Download

The construction of molecular properties plays a significant role in various fields, such as material science, sensors, nanotechnology, drug design, and more. However, the construction of molecular structures on a raw dataset, which is noisy and incomplete, is a challenging but crucial task.

15p vibego 02-02-2024 1 0   Download

The study aimed to help get insights about the causes of road accidents, and to provide knowledge of road accidents for road safety using Association Rule Mining with the application of the Apriori Algorithm. Association rule mining using the Apriori Algorithm produces significant patterns and insights that help identify the causes of road accidents.

9p vigojek 02-02-2024 8 2   Download

This thesis describes a quality method that was developed to measure the quality of a tool or technique based on the results it produces. Based on the results of these measurements on current carving tools, a number of areas were identified that could be improved. A new carving framework was developed to address these points of improvements, and its results were tested using the previously developed quality method. The new carving framework achieved significantly better results on all identified improvement areas.

110p longtimenosee02 03-01-2024 4 3   Download

This paper produces an effective algorithm and experimental results for mining closed sequential patterns from the sequence database using the parent–child relationship on the prefix tree structure. Experimental results show that the performance runtime of the proposed algorithm is much faster than that of other algorithms by more than one order of magnitude and the number of sequential patterns is reduced significantly.

7p vimarillynhewson 02-01-2024 4 3   Download

This approach required a significant amount of time for preprocessing and formulating a constraint satisfaction problem (CSP). To address this problem, we proposed a new algorithm based on a hash data structure which performs more quickly in itemsets filtering and problem modeling. Experiment evaluations are conducted on real world and synthetic datasets.

11p visystrom 22-11-2023 6 5   Download

This paper focuses on an exact algorithm for solving NP-hard combinatorial optimization problems which frequently requires significant specialized knowledge and trial and error, especially, Mixed Integer Linear Programs (MILP). This challenging, tedious process can be automated by learning the algorithms instead.

6p visystrom 22-11-2023 4 4   Download

This book is intended as an introduction to computer vision for a broad audience. It provides necessary theory and examples for students and practicioners who will work in fields where significant information must be extracted automatically from images. The book should be a useful resource book for professionals, a text for both undergraduate and beginning graduate courses, and a resource for enrichment of college or even high school projects. Our goals were to provide a basic set of fundamental concepts and algorithms and also discuss some of the exciting evolving application areas.

617p haojiubujain08 01-11-2023 7 3   Download

Ebook "Mathematical formulas for economists" constitutes a compendium of mathematics for economics and business. It contains the most important formulas, statements and algorithms in this significant subfield of modern mathematics and addresses primarily students of economics or business at universities, colleges and trade schools. But people dealing with practical or applied problems will also find this collection to be an efficient and easy-to-use work of reference.

197p loivantrinh 29-10-2023 7 3   Download

Part 1 book "Small-Animal SPECT imaging" includes content: Biomedical significance of small animal imaging, detectors for small animal spect I, the animal in animal imaging, objective assessment of image quality, objective assessment of image quality, objective assessment of image quality, reconstruction algorithm with resolution deconvolution in a small animal pet imager,... and other contents.

201p oursky05 20-09-2023 3 1   Download

Acoustic feedback is a major problem in openfit digital hearing aids, which significantly lowers the signal quality and limits the achievable maximum stable gain. Adaptive feedback cancellation (AFC) is a common and efficient approach, however, it introduces a biased estimate of the feedback path due to a high correlation between loudspeaker signal and the incoming signal, especially when the incoming signal is spectrally coloured, e.g., speech, music.

11p viannee 02-08-2023 5 4   Download

The resource costs of each design on the FPGA were provided after the program had run, and these data were compiled for analysis. In the context of this study, we advise system designers to incorporate the RIJNDEAL algorithm into IoT systems in order to achieve data encryption.

11p nhanchienthien 25-07-2023 7 4   Download

Medical word sense disambiguation (WSD) is challenging and often requires significant training with data labeled by domain experts. This work aims to develop an interactive learning algorithm that makes efficient use of expert’s domain knowledge in building high-quality medical WSD models with minimal human effort.

9p visteverogers 24-06-2023 5 2   Download