Effective human–object interaction recognition for edge devices in intelligent space by Haruhiro Ozaki, Dinh Tuan Tran, Joo-Ho Lee

“…This capability has been studied using various approaches, but previous research has mainly focused only on recognition accuracy using widely used open datasets. …”
Get full text

Construction and demolition waste material library based on vision systems dataZenodo by Maria Teresa Calcagni, Giovanni Salerno, Gloria Cosoli, Giuseppe Pandarese, Gian Marco Revel

“…The data obtained were standardised and organised in a format compatible with the main statistical analysis and machine learning tools to facilitate their integration into predictive models and decision-making processes. …”
Get full text

Estimation of the aboveground carbon stocks based on tree species identification in Saihanba plantation forest by Ao Zhang, Xiaohong Wang, Xin Gu, Xiangyao Xu, Xintong Gao, Linlin Jiao

“…The results were shown that: 1) The identification effect of Scheme IV, as ascertained by screening three types of effective feature vectors based on the random forest algorithm, was the most effective, with an overall accuracy (OA) and kappa coefficient of 89.7% and 0.863, respectively. …”
Get full text

Challenges of manufacturing for energy efficiency: towards a systematic approach through applications of machine learning by Elaheh Gholamzadeh Nabati, Maria Teresa Alvela Nieto, Dennis Bode, Thimo Florian Schindler, André Decker, Klaus-Dieter Thoben

“…Then, an analysis of currently available machine learning frameworks and their selection and implementation is conducted. Main findings The main result is a 5-step approach for increasing the energy efficiency of manufacturing processes through machine learning. …”
Get full text

RussianLanguage Thesauri: Automated Construction and Application For Natural Language Processing Tasks by Nadezhda S. Lagutina, Ksenia V. Lagutina, Aleksey S. Adrianov, Ilya V. Paramonov

“…The authors analyzed the main characteristics of open access thesauri for scientific research, evaluated trends of their development, and their effectiveness in solving natural language processing tasks. …”
Get full text

THE PRINCIPLE OF SOCIAL AND CULTURAL MEDIATION FOR DETERMINING THE TYPES OF TEACHERS BY THE STRUCTURE OF SELF-CONTROL AND AGGRESSION INTERRELATIONS by Tatiana Banshikova, Maksim Sokolovsky

“…K-means clustering and analysis of variance have been used as main computation algorithms.…”
Get full text

Introducing a Deep Neural Network Model with Practical Implementation for Polyp Detection in Colonoscopy Videos by Hajar Keshavarz, Zohreh Ansari, Hossein Abootalebian, Babak Sabet, Mohammadreza Momenzadeh

“…The application of deep-learning algorithms in colonoscopy can be divided into four main categories: surgical image analysis, surgical operations analysis, evaluation of surgical skills, and surgical automation. …”
Get full text

Modern understanding of comorbidity and approaches to formulating the diagnosis of comorbid patients by А. L. Vertkin, O. V. Zayratyants, A. L. Kebina, M. M. Shamuilova, G. Yu. Knorring

“…The article updates the rules for formulating a clinical and pathomorphological diagnosis in a comorbid patient, namely: a clear reflection of the presence of the main disease and comorbid ones (competing, combined and background diseases), complications of the main disease and concomitant diseases. …”
Get full text

The Influence Mechanism of Narrative Strategies Used by Virtual Influencers on Consumer Product Preferences by Yuelong Zeng, Gefei Pu, Jingwen Liu, Wenting Feng

“…As social media has risen, virtual social media influencers have become a significant tool in modern marketing, utilizing computer-generated images (CGI), machine learning algorithms, and artificial intelligence technologies to connect with consumers via virtual online personas. …”
Get full text

Digital education as a new pedagogical paradigm by Fatima Anzaurovna Tuguz

“…Key findings: the introduction of digital education into a university environment has been considered in two contexts: as a necessary content of education and as a means of teaching; the main features of digital education focus on consumer preferences, organization of rational user interaction, algorithmized interaction of its users, remote work with information resources, network interaction, etc.; infection for various consumer groups; the ability to operate on different means and compatibility with other applications; the prospects for digital education are the construction of an ergonomic communicative environment of an educational institution, the possession of digital competencies by all subjects of education; motivation of scientific and pedagogical personnel to work in a new educational environment, updating academic disciplines, etc.…”
Get full text

Multilayer perceptron deep learning radiomics model based on Gd-BOPTA MRI to identify vessels encapsulating tumor clusters in hepatocellular carcinoma: a multi-center study by Mengting Gu, Wenjie Zou, Huilin Chen, Ruilin He, Xingyu Zhao, Ningyang Jia, Wanmin Liu, Peijun Wang

“…Compared with the two models aforementioned, the Radiology MLP model demonstrated a 33.4%-131.3% improvement in NRI and a 9.3%-50% improvement in IDI, showing better discrimination, calibration and clinical usefulness in three sets, which was selected as the optimal predictive model. Conclusion We mainly developed a fusion model (Radiology MLP model) that integrated radiology and radiomics features using MLP deep learning algorithm to predict vessels encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC) patients, which yield an incremental value over the radiology and the MLP model.…”
Get full text

Interacting Large Language Model Agents. Bayesian Social Learning Based Interpretable Models by Adit Jain, Vikram Krishnamurthy

“…This paper discusses the theory and algorithms for interacting large language model agents (LLMAs) using methods from statistical signal processing and microeconomics. …”
Get full text

Statistical distributions of thesauri and their uses in classification of science publications by Vaidas Balys, Rimantas Rudzkis

“…Some analysis was carried out and on base of its results the conclusions about effectiveness, usefullnes, main shortages and the ways of refinement of simpliest algorithms are drawn. …”
Get full text

Exploring the comprehensive integration of artificial intelligence in optimizing HVAC system operations: A review and future outlook by Shengze Lu, Shiyu Zhou, Yan Ding, Moon Keun Kim, Bin Yang, Zhe Tian, Jiying Liu

“…The main algorithms of supervised learning, reinforcement learning, and deep learning are then analyzed in the fields of air conditioning operation optimization, energy consumption prediction and control, indoor environmental protection, and fault detection and diagnosis. …”
Get full text

Spatial Analysis of Bioclimatic Vulnerability of Kermanshah Facing Heat Wave by Hossein Yavari, Mstafa Karampour, Dariush Yarahmadi

“…Nowadays, extreme events, as one of the signs of climate change, have become major climatic hazards. The main objective of this study is to investigate the population exposed hyperthermia in Kermanshah at the time of the heat waves. …”
Get full text

Genetic heterogeneity in familial forms of genetic generalized epilepsy: from mono- to oligogenism by Maha Dahawi, Jean-Madeleine de Sainte Agathe, Mohamed S. Elmagzoub, Elhami A. Ahmed, Julien Buratti, Thomas Courtin, Eric Noé, Julie Bogoin, Bruno Copin, Fatima A. Elmugadam, Wasma A. Abdelgadir, Ahmed K. M. A. Ahmed, Mohamed A. Daldoum, Rayan Mamoon Ibrahim Altayeb, Mohamed Bashir, Leena Mohamed Khalid, Sahar Gamil, Sara Baldassari, Liena Elsayed, Boris Keren, Gregory Nuel, Ammar E. Ahmed, Eric Leguern

“…Our study reinforces the hypothesis that GGE is genetically heterogeneous, even in a relatively limited geographic area, and mainly oligogenic, as supported by the low familial penetrance of GGE and by the Bayesian algorithm that we developed in a large pedigree with JME. …”
Get full text

Vision-Based Drone Detection in Complex Environments: A Survey by Ziyi Liu, Pei An, You Yang, Shaohua Qiu, Qiong Liu, Xinghua Xu

“…We first explore the imaging and drone characteristics in complex environments and summarize the main challenges of visual UAV detection. Then, we summarize the existing solutions for the main challenges. …”
Get full text

Identification of aquifer heterogeneity through inverse methods by Ackerer, Philippe, Carrera, Jesus, Delay, Frédérick

“…The paper underlines the contributions of Ghislain de Marsily (GdM) to the identification of aquifers heterogeneity using inverse methods mainly for modeling subsurface flow. Inverse methods require an objective function to express the goodness of fit of the chosen model, a parameterization to describe the spatial distribution of model parameters, and a minimization algorithm. …”
Get full text

The Marine Safety Simulation based Electronic Chart Display and Information System by Xin Yu Zhang, Yong Yin, Jin YiCheng, XiaoFeng Sun, Ren HongXiang

“…One navigation safety simulation model in ECDIS based on international standard format (S-57) is put forward, which is mainly involved in route plan and route monitoring. …”
Get full text

Recent developments of artificial intelligence methods for sea ice concentration monitoring using high-resolution imaging datasets by Marzuraikah Mohd Stofa, Siti Raihanah Abdani, Asraf Mohamed Moubark, Muhammad Ammirrul Atiqi Mohd Zainuri, Ahmad Asrul Ibrahim, Nor Azwan Mohamed Kamari, Mohd Asyraf Zulkifley

“…Comprehensive discussions of the aforementioned topics, including the main findings and patterns, are provided to stimulate future research.…”
Get full text