AI and Image Processing Based Intelligent Personal Assistive tool for Alzheimer’s Patient DOI

R.R. Thirrunavukkarasu,

C Swetha,

S Smrithi

и другие.

Опубликована: Май 14, 2024

Язык: Английский

Enhancing Economic Security through Digital Transformation in Investment Processes: Theoretical Perspectives and Methodological Approaches Integrating Environmental Sustainability DOI Open Access
Олександр Калінін, Vіktorіya Gonchar, N. Abliazova

и другие.

Natural and Engineering Sciences, Год журнала: 2024, Номер 9(1), С. 26 - 45

Опубликована: Май 30, 2024

This article delves into the role of digital transformation in bolstering economic security within investment processes, emphasizing integration environmental sustainability. It discusses theoretical perspectives and methodological approaches that illuminate how technologies can enhance practices while ensuring responsibility. The authors emphasize leveraging not only mitigate risks vulnerabilities but also bolster efficiency transparency decision-making promoting sustainable practices. Through a review pertinent literature, scrutinizes advantages digitalization realms such as data analytics, automation, artificial intelligence, highlighting dual benefits stewardship. findings enrich existing knowledge base on underscore significance embracing infused with sustainability arena. furnishes valuable insights for policymakers, practitioners, researchers navigating evolving landscape processes an increasingly digitized environmentally conscious world.

Язык: Английский

Процитировано

30

Directional Optimization Model for Efficient Vehicle Control in Photovoltaic Systems DOI Open Access
I Wayan Suryasa,

Raúl Pacheco Clemente,

Ulloa de Souza

и другие.

Nanotechnology Perceptions, Год журнала: 2024, Номер 20(S1)

Опубликована: Март 1, 2024

The problem of electric vehicle control with photovoltaic system and maximizing the span has been well studied.The methods estimate based on residual energy but does not consider maximization by diverting according to various factors.This affects performance reduces expected.To handle this issue, an Directional Optimization Model (DOM) is presented runs systems.The model focused increase than expected one which possible choosing direction for in optimized way.To perform this, method uses route map region collects traffic data.With data, identifies routes each them; it estimates Span Maximization Support (DSMS).With value DSMS, suitable reach destination.The DSMS measured number factors like distance, depletion, speed, traffic, signals diversions so on.By performing directional optimization, greatly increased.The proposed improves utilization maximization.

Язык: Английский

Процитировано

7

Prediction of Air Pollution Utilizing an Adaptive Network Fuzzy Inference System with the Aid of Genetic Algorithm DOI Open Access

J. Praveenchandar,

K. Venkatesh,

B Mohanraj

и другие.

Natural and Engineering Sciences, Год журнала: 2024, Номер 9(1), С. 46 - 56

Опубликована: Май 30, 2024

With the growth of modern lifestyles and growing urbanization reliance on fossil fuels, need for tracking monitoring air pollution has become more significant. This research used existing information significant pollutants to forecast their future condition using time-series modeling. Most studies have Autoregressive Integrated Moving Average (ARIMA) Logistic Regression (LR) methods analyze data. Still, employing an Adaptive Neuro Fuzzy Inference System (ANFIS) this purpose been infrequent. Conventional prediction approaches use assumption that there is a linear connection among variables. However, in modeling, are non-linear intricate factors. paper Network with help Improved Genetic Algorithm (ANFIS-IGA) predict pollution. work aimed address constraint by enhancing precision everyday pollutant via analysis data ANFIS Air data, including Fine Particulate Matter (FPM), CO, SO2, O3, NO2, gathered from Quality Open Data Platform. examines surveillance concentration indoor outdoor situations ANFIS-IGA model. The model's effectiveness was enhanced optimized IGA. results indicate proposed framework achieved superior performance compared other models, as shown Root Mean Square Error (RMSE) value 0.052658.

Язык: Английский

Процитировано

5

Effectiveness of Lean Construction Principles on Project Efficiency in Central Jordan's Construction Projects DOI Open Access

Hanan Al-Edwan,

Mohamad Al-Adwan

Deleted Journal, Год журнала: 2025, Номер 12(4), С. 6 - 37

Опубликована: Март 25, 2025

Purpose – Clarifying and measuring the effectiveness of flexible construction principles on project efficiency in projects central Jordan. Design/methodology/approach This study is considered one quantitative studies that provide a numerical explanation to prove lean The sample was selected randomly from homogeneous community consultants contractors who hold engineering membership Jordan Engineers Association. Results– results indicated comprehensive application (value definition, value stream mapping, flow creation, pull instead push, Pursuit Perfection) leads improvements level Originality/Value - research highlights gap related by sector reveals concepts efficiency. In addition, this few studied extent which Jordanian applies its improving

Язык: Английский

Процитировано

0

Is artificial intelligence really influencing the marketing strategies and consumer behaviour? DOI Creative Commons

R.S. Latha,

M. Chandran

Salud Ciencia y Tecnología - Serie de Conferencias, Год журнала: 2024, Номер 3, С. 896 - 896

Опубликована: Янв. 1, 2024

Purpose: the main aim of this research is to measure influence different components artificial intelligence and marketing strategies pursued by consumers. The identify impact on consumer behaviour. sales forecasting method found with much successful through technology innovations in domain. Design / Methodology: comprehensive framework for evaluating quality website design was subsequently accompanied collection data a web-based survey. researcher able obtain 452 responses which can be used study confirmatory factor analysis linear multiple regression analysis. Findings: it from that its generated suggestions Arena very useful both marketers as well As far are concerned them exactly also get projective figure their business turnover volume. Practical Implications: empirical paved way implement several implications consumers demographic background. It suggested should complete form profiling consumers, background purchase details technological knowledge so they generate appropriate solutions attract motivate make next within short span time. Originality/Value: optimize advertisement campaigns, preserving profile quick communication clarity approach take independent autonomous decisions respect behaviour

Язык: Английский

Процитировано

2

An Evaluation of Various Deep Convolutional Networks for the Development of a Vision System for the Classification of Domestic Solid Street Waste DOI Creative Commons

Vicknesh Kumar Yogamadhavan,

Giriraj Mannayee

Journal of Internet Services and Information Security, Год журнала: 2024, Номер 14(2), С. 268 - 283

Опубликована: Май 30, 2024

Artificial intelligence is an emerging technology revolutionizing the modern world and making life of mankind easier more efficient. Its application in various fields growing every moment like tributaries flooded rivers. To apply Intelligence field domestic waste collection, images 7 categories such as cardboards tetra packs, dairy packets, facemasks, footwear, paper cups, plastic bottles, wrappers taken factual street environments under natural lighting were trained tested through different pre-trained convolutional neural networks. This work aims at development a vision system for autonomous robot to collect solid littered along streets densely populated areas where collection process tedious, by evaluating existing Image categorization identification vital part system. A total 700 consisting 100 each category used training testing purposes. Among them 70% 30% testing. The networks squeezenet, googlenet, inceptionv3, densenet201, mobilenetv2, resnet18, resnet50, resnet101, xception, inceptionresnetv2, shufflenet, nasnetmobile, nasnetlarge, darknet19, darknet53, efficientnetb0, alexnet, vgg16 vgg19 evaluate performance image identification. accuracy Inceptionv3, xception efficientnetb0 was 90%. nasnetlarge darknet53 91% highest 93% achieved inceptionresnetv2.

Язык: Английский

Процитировано

1

Fostering employee engagement and knowledge sharing through artificial intelligence DOI Creative Commons

S. Anisha Estherita,

S. Vasantha

Salud Ciencia y Tecnología - Serie de Conferencias, Год журнала: 2024, Номер 3, С. 897 - 897

Опубликована: Янв. 1, 2024

Artificial Intelligence is the field that growing at a rapid pace which involves development of intelligent machines perform tasks with aid human intelligence. The implementation has led to significant advancements in various business fields. It potential transform businesses and improve process many ways. Knowledge vital asset any person, while its shared, it becomes an for many. Sharing knowledge exchange information expertise among individuals organization. sharing can help organizations identify address problems effectively swiftly. Engaging employee organization aspect organizational productivity success as well. Once when emotionally attached their organization, they feel responsible about work will involvement. promote engagement sharing. Through personalized learning opportunities, fosters engagement, whereas through real-time communication collaboration technologies facilitates within This review article aims discovering how engaging employees by undertaking secondary method data collection. article's primary goal add body already available on subject. study found adoption creates environments maximize enhances

Язык: Английский

Процитировано

1

Effectiveness of Innovation for Organizational Excellence in the Information Technology Sector DOI

Annesly Anton Carvalho,

K. Karthikeyan, J. Clement Sudhahar

и другие.

Journal of Lifestyle and SDGs Review, Год журнала: 2024, Номер 4(4), С. e03548 - e03548

Опубликована: Ноя. 22, 2024

Introduction: Digital transformation era calls for effective leadership competencies in the information technology sector. The need, significance, purpose and scope of study will reiterate Statement problem research statement - that there is no coherent link most studies between effectiveness innovation as a competency organizational excellence, since still scarcity research, based on Review Literature. This assesses significant relationship excellence drivers like employee value proposition, competitive advantage, agility culture. Team Leaders, project leaders, managers senior leaders select IT Companies Chennai city were universe study. Objectives: (i) Examine namely (ii) differences impact demographic factors gender, age, educational qualification, total years experience, experience current company, innovation, competency. (iii) Methods: For this study, quantitative design approach, structured questionnaire tool, simple random sampling method, standard data analysis process interpretation collected has been used. Results: rise knowledge work, beckons an mindset, risk-taking, change management workforce workplace. Human capital development improves product, service, process, technological business model growth. Enhanced nimble-organizational enticing culture creates sustained advantage. Conclusion: It was found competency, impacts paves way long-term strategic success, to build thriving turn helps successful organizations with sustainable

Язык: Английский

Процитировано

0

Analysis of Career Management in Indian Information Technology Industry DOI

Naveen Upadhyay,

Lalit Sachdeva

Journal of Lifestyle and SDGs Review, Год журнала: 2024, Номер 4(4), С. e03584 - e03584

Опубликована: Ноя. 25, 2024

Objectives: The primary focal point of the review was to break down vocation board rehearses in Indian IT industry and foster suitable techniques that can be utilized by experts organizations. Methods: Aftereffects essential information examination are introduced this section. Essential gathered from 549 respondents investigated with assistance graphic inferential factual apparatuses. Unmistakable instruments like mean, standard deviation, difference, skewness, kurtosis chi square were guarantee ordinariness information. Inferential tests variable (utilizing Kaiser-Meyer-Olkin proportion inspecting sufficiency, Bartlett's trial sphericity turned part grid), relationship investigation different relapse displaying approve exploration model come a sensible end result. Results: Be as it may, vocations made inside associations people impacted significant degree hierarchical variables. Subsequently, profession executives is 'joint liability' two people. Conclusion: It generally beneficial economy accomplish high development situation turn into super power country.

Язык: Английский

Процитировано

0

A Novel Approach for Lagna Computation by Combining the Astrological Facts and Relevant Statistical Calculations DOI

C. N. V. B. R. Sri Gowrinath,

Y. Jahnavi,

P. V. G. D. Prasad Reddy

и другие.

Опубликована: Ноя. 23, 2024

Язык: Английский

Процитировано

0