International Journal of Artificial Intelligence & Applications (IJAIA)

•

0 likes•3 views

The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Artificial Intelligence & applications. Topics of interest include, but are not limited to, the following:

Data & Analytics

International Journal of Artificial Intelligence & Applications (IJAIA)
ISSN: 0975-900X (Online); 0976-2191 (Print)
http://www.airccse.org/journal/ijaia/ijaia.html
Scope & Topics
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open
access peer-reviewed journal that publishes articles which contribute new results in all areas of
the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for
professionals and researchers in all fields of AI for researchers, programmers, and software and
hardware manufacturers. The journal also aims to publish new attempts in the form of special
issues on emerging areas in Artificial Intelligence and applications.
Authors are solicited to contribute to the journal by submitting articles that illustrate research
results, projects, surveying works and industrial experiences that describe significant advances
in the areas of Artificial Intelligence & applications.
Topics of interest include, but are not limited to, the following:
 AI Algorithms
 Artificial Intelligence tools & Applications
 Automatic Control
 Bioinformatics
 Natural Language Processing
 CAD Design & Testing
 Computer Vision and Speech Understanding
 Data Mining and Machine Learning Tools
 Fuzzy Logic
 Heuristic and AI Planning Strategies and Tools
 Computational Theories of Learning
 Hybrid Intelligent Systems
 Information Retrieval
 Intelligent System Architectures
 Knowledge Representation
 Knowledge-based Systems
 Mechatronics
 Multimedia & Cognitive Informatics
 Neural Networks
 Parallel Processing
 Pattern Recognition
 Pervasive computing and ambient intelligence
 Programming Languages
 Reasoning and Evolution
 Recent Trends and Developments
 Robotics
 Semantic Web Techniques and Technologies
 Soft computing theory and applications

 Software & Hardware Architectures
 Web Intelligence Applications & Search
Paper Submission
Authors are invited to submit papers for this journal through E-mail: ijaiajournal@airccse.org.
Submissions must be original and should not have been published previously or be under
consideration for publication while being evaluated for this Journal.
Important Dates
 Submission Deadline : February 17, 2024
 Notification : March 23, 2024
 Final Manuscript Due : March 30, 2024
 Publication Date : Determined by the Editor-in-Chief
Current issue URL: https://www.airccse.org/journal/ijaia/current2024.html
Contact Us:
Here's where you can reach us : ijaiajournal@airccse.org or ijaiajournal@yahoo.com
or ijaia@aircconline.com
Submission Link: https://airccse.com/submissioncs/home.html

Similar to International Journal of Artificial Intelligence & Applications (IJAIA)

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

Similar to International Journal of Artificial Intelligence & Applications (IJAIA) (10)

International Journal of Artificial Intelligence & Applications (IJAIA)

More from gerogepatton

10th International Conference on Artificial Intelligence and Applications (AI 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and its applications. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

10th International Conference on Artificial Intelligence and Applications (AI...

gerogepatton

Aiming at the problems of poor local search ability and precocious convergence of fuzzy C-cluster recursive genetic algorithm (FOLD++), a new fuzzy C-cluster recursive genetic algorithm based on Bayesian function adaptation search (TS) was proposed by incorporating the idea of Bayesian function adaptation search into fuzzy C-cluster recursive genetic algorithm. The new algorithm combines the advantages of FOLD++ and TS. In the early stage of optimization, fuzzy C-cluster recursive genetic algorithm is used to get a good initial value, and the individual extreme value pbest is put into Bayesian function adaptation table. In the late stage of optimization, when the searching ability of fuzzy C-cluster recursive genetic is weakened, the short term memory function of Bayesian function adaptation table in Bayesian function adaptation search algorithm is utilized. Make it jump out of the local optimal solution, and allow bad solutions to be accepted during the search. The improved algorithm is applied to function optimization, and the simulation results show that the calculation accuracy and stability of the algorithm are improved, and the effectiveness of the improved algorithm is verified

Research on Fuzzy C- Clustering Recursive Genetic Algorithm based on Cloud Co...

gerogepatton

10th International Conference on Artificial Intelligence and Soft Computing (AIS 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology, and applications of Artificial Intelligence, Soft Computing. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

10th International Conference on Artificial Intelligence and Soft Computing (...

gerogepatton

Employee attrition refers to the decrease in staff numbers within an organization due to various reasons. As it has a negative impact on long-term growth objectives and workplace productivity, firms have recognized it as a significant concern. To address this issue, organizations are increasingly turning to machine-learning approaches to forecast employee attrition rates. This topic has gained significant attention from researchers, especially in recent times. Several studies have applied various machinelearning methods to predict employee attrition, producing different resultsdepending on the employed methods, factors, and datasets. However, there has been no comprehensive comparative review of multiple studies applying machine-learning models to predict employee attrition to date. Therefore, this study aims to fill this gap by providing an overview of research conducted on applying machine learning to predict employee attrition from 2019 to February 2024. A literature review of relevant studies was conducted, summarized, and classified. Most studies agree on conducting comparative experiments with multiple predictive models to determine the most effective one.From this literature survey, the RF algorithm and XGB ensemble method are repeatedly the best-performing, outperforming many other algorithms. Additionally, the application of deep learning to employee attrition prediction issues also shows promise. While there are discrepancies in the datasets used in previous studies, it is notable that the dataset provided by IBM is the most widely utilized. This study serves as a concise review for new researchers, facilitating their understanding of the primary techniques employed in predicting employee attrition and highlighting recent research trends in this field. Furthermore, it provides organizations with insight into the prominent factors affecting employee attrition, as identified by studies, enabling them to implement solutions aimed at reducing attrition rates.

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

10th International Conference on Artificial Intelligence and Applications (AIFU 2024) is a forum for presenting new advances and research results in the fields of Artificial Intelligence. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. The scope of the conference covers all theoretical and practical aspects of the Artificial Intelligence.

10th International Conference on Artificial Intelligence and Applications (AI...

gerogepatton

This paper summarizes the most cogent advantages and risks associated with Artificial Intelligence from an in-depth review of the literature. Then the authors synthesize the salient risk-related models currently being used in AI, technology and business-related scenarios. Next, in view of an updated context of AI along with theories and models reviewed and expanded constructs, the writers propose a new framework called “The Transformation Risk-Benefit Model of Artificial Intelligence” to address the increasing fears and levels of AIrisk. Using the model characteristics, the article emphasizes practical and innovative solutions where benefitsoutweigh risks and three use cases in healthcare, climate change/environment and cyber security to illustrate unique interplay of principles, dimensions and processes of this powerful AI transformational model.

THE TRANSFORMATION RISK-BENEFIT MODEL OF ARTIFICIAL INTELLIGENCE:BALANCING RI...

gerogepatton

13th International Conference on Software Engineering and Applications (SEA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Software Engineering and Applications. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts and establishing new collaborations in these areas.

13th International Conference on Software Engineering and Applications (SEA 2...

gerogepatton

Complicated policy texts require a lot of effort to read, so there is a need for intelligent interpretation of Chinese policies. To better solve the Chinese Text Summarization task, this paper utilized the mT5 model as the core framework and initial weights. Additionally, In addition, this paper reduced the model size through parameter clipping, used the Gap Sentence Generation (GSG) method as unsupervised method, and improved the Chinese tokenizer. After training on a meticulously processed 30GB Chinese training corpus, the paper developed the enhanced mT5-GSG model. Then, when fine-tuning the Chinese Policy text, this paper chose the idea of “Dropout Twice”, and innovatively combined the probability distribution of the two Dropouts through the Wasserstein distance. Experimental results indicate that the proposed model achieved Rouge-1, Rouge-2, and Rouge-L scores of 56.13%, 45.76%, and 56.41% respectively on the Chinese policy text summarization dataset.

AN IMPROVED MT5 MODEL FOR CHINESE TEXT SUMMARY GENERATION

gerogepatton

10th International Conference on Artificial Intelligence and Applications (AI...

gerogepatton

The pervasive use of social media platforms, such as Facebook, Instagram, and X, has significantly amplified our electronic interconnectedness. Moreover, these platforms are now easily accessible from any location at any given time. However, the increased popularity of social media has also led to cyberbullying.It is imperative to address the need for finding, monitoring, and mitigating cyberbullying posts on social media platforms. Motivated by this necessity, we present this paper to contribute to developing an automated system for detecting binary labels of aggressive tweets.Our study has demonstrated remarkable performance compared to previous experiments on the same dataset. We employed the stacking ensemble machine learning method, utilizing four various feature extraction techniques to optimize performance within the stacking ensemble learning framework. Combining five machine learning algorithms,Decision Trees, Random Forest, Linear Support Vector Classification, Logistic Regression, and K-Nearest Neighbors into an ensemble method, we achieved superior results compared to traditional machine learning classifier models. The stacking classifier achieved a high accuracy rate of 94.00%, outperforming traditional machine learning models and surpassing the results of prior experiments that utilized the same dataset. The outcomes of our experiments showcased an accuracy rate of 0.94% in detection tweets as aggressive or non-aggressive.

A Machine Learning Ensemble Model for the Detection of Cyberbullying

gerogepatton

10th International Conference on Data Mining (DaMi 2024) Conference provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Data Mining and Knowledge Management Process.

10th International Conference on Data Mining (DaMi 2024)

gerogepatton

March 2024 - Top 10 Read Articles in Artificial Intelligence and Applications...

gerogepatton

Classifying the ECG dataset is the main technique for diagnosing heart disease. However, the focus of this field is increasingly on prediction, with a growing dependence on machine learning techniques. This study aimed to enhance the accuracy of cardiovascular disease classification using data from the PhysioNet database by employing machine learning (ML). The study proposed several multi-class classification models that accurately identify patterns within three classes: heart failure rhythm (HFR), normal heart rhythm (NHR), and arrhythmia (ARR). This was accomplished by utilizing a database containing 162 ECG signals. The study employed a variety of techniques, including frequency-time domain analysis, spectral features, and wavelet scattering, to extract features and capture unique characteristics from the ECG dataset. The SVM model produced a training accuracy of 97.1% and a testing accuracy of 92%. This work provides a reliable, effective, and human error-free diagnostic tool for identifying heart disease. Furthermore, it could prove to be a valuable resource for future medical research projects aimed at improving the diagnosis and treatment of cardiovascular diseases

WAVELET SCATTERING TRANSFORM FOR ECG CARDIOVASCULAR DISEASE CLASSIFICATION

gerogepatton

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

This paper focuses on an experimental study that used passive sonar sensors as the primary information source for the submerged target in order to identify, classify, and recognize naval targets. Surface vessels and submarine generate a specific sound either by propulsion systems, auxiliary equipment or blades of their propellers, producing information known as the "acoustic signature" that is unique to each type of target. Consequently, the analysis and classification of targets depend on the processing of the frequencies produced by these vibrations (sound). utilizing the TPWS (Two-Pass-Split Windows) filter, this work aims to develop a novel technique for target identification and classification utilizing passive sonars. This technique involves processing the target's signal in the time-frequency domain. subsequently, in order to improve the frequency lines of the target noise and decrease the background noise, a TPSW algorithm is implemented in the frequency domain. By integrating narrowband and broadband analysis as inputs of an artificial intelligence model that can classify a target into one of the categories given in the training phase, the target has finally been classified. Our findings demonstrated that the suggested approach is dependent upon the size of the target noise data collection and the noise-to-effective-signal ratio

Passive Sonar Detection and Classification Based on Demon-Lofar Analysis and ...

gerogepatton

10th International Conference on Artificial Intelligence and Applications (AI...

gerogepatton

Artificial Narrow Intelligence is in the phase of moving towards the AGN, which will attempt to decide as a human being. We are getting closer to it by each day, but AI actually is indefinite to many, although it is no different than any other set of mathematically defined computer operations in its core. Generating new data from a pre-trained model introduces new challenges to science & technology. In this work, the design of such an architecture from scratch, solving problems, and introducing alternative approaches are what has been conducted. Using a deep thinker, Tolstoy, as an object of study is a source of motivation for the entire research.

Foundations of ANNs: Tolstoy’s Genius Explored using Transformer Architecture

gerogepatton

2nd International Conference on Computer Science, Engineering and Artificial Intelligence (CSEAI 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Computer Engineering and AI. The Conference looks for significant contributions to all major fields of the Computer Science, Engineering and AI in theoretical, practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

2nd International Conference on Computer Science, Engineering and Artificial ...

gerogepatton

International Journal of Artificial Intelligence & Applications (IJAIA)

gerogepatton

This study reviews studies on Artificial Intelligence (AI) maturity models (MM) in automotive manufacturing. To stay competitive, SMEs in the automotive industry need to embrace digitalization. SMEs employ a large segment of the USA's workforce. The benefits of operational efficiency, quality improvement, cost reduction, and innovative culture have made SMEs more aggressive about digitalization. Digitalizing operations with Artificial Intelligence are on the rise. In this paper, AI applications in SMEs are examined through the lens of an AI maturity model.

Website URL:https://www.airccse.org/journal/ijaia/ijaia.html Review of AI Mat...

gerogepatton

More from gerogepatton (20)