Deep Learning-Based Dzongkha Handwritten Digit Classification by Yonten Jamtsho, Pema Yangden, Sonam Wangmo, Nima Dema

“… In computer vision applications, pattern recognition is one of the important fields in artificial intelligence. With the advancement in deep learning technology, many machine learning algorithms were developed to tackle the problem of pattern recognition. …”
Get full text

Double adversarial attack against license plate recognition system by Xianyi CHEN, Jun GU, Kai YAN, Dong JIANG, Linfeng XU, Zhangjie FU

“…Recent studies have revealed that deep neural networks (DNN) used in artificial intelligence systems are highly vulnerable to adversarial sample-based attacks.To address this issue, a dual adversarial attack method was proposed for license plate recognition (LPR) systems in a DNN-based scenario.It was demonstrated that an adversarial patch added to the pattern location of the license plate can render the target detection subsystem of the LPR system unable to detect the license plate class.Additionally, the natural rust and stains were simulated by adding irregular single-connected area random points to the license plate image, which results in the misrecognition of the license plate number.or the license plate research, different shapes of adversarial patches and different colors of adversarial patches are designed as a way to generate adversarial license plates and migrate them to the physical world.Experimental results show that the designed adversarial samples are undetectable by the human eye and can deceive the license plate recognition system, such as EasyPR.The success rate of the attack in the physical world can reach 99%.The study sheds light on the vulnerability of deep learning and the adversarial attack of LPR, and offers a positive contribution toward improving the robustness of license plate recognition models.…”
Get full text

Green AI: Enhancing Sustainability and Energy Efficiency in AI-Integrated Enterprise Systems by Saumya Dash

“…The rise of Artificial Intelligence (AI) in automating tasks and driving decision-making within enterprise systems has led to growing concerns over the significant energy consumption involved in model training and inference processes. …”
Get full text

Legal aspects of responsibility for publishing or re-publishing incorrect information on social media (a study in UAE law) by Ziad AL-Enizi, Ahmad Ghandour

“…In this regard, the study recommends that relevant authorities develop their technical methods, such as the use of artificial intelligence in tracking the source of publishing that information and holding them accountable in accordance with the provisions of the law.…”
Get full text

Deep learning for object recognition: A comprehensive review of models and algorithms by Paschalis Tsirtsakis, Georgios Zacharis, George S. Maraslidis, George F. Fragulis

“…The rapid advancements in artificial intelligence (AI) and machine learning (ML) have significantly enhanced progress in computer vision, opening doors to innovative technological possibilities and enabling a range of real-world applications. …”
Get full text

Intelligent Models and Architectures for Global Learning-Oriented Cooperation by Ana M. Gonzalez de Miguel, Antonio Sarasa-Cabezuelo

Get full text

The capital-labor relationship in Industry 4.0 by Guillermo Foladori, Ángeles Ortiz-Espinoza

“…It is associated with a new technological revolution characterized by the interrelation of various technologies, whose main elements are cyber-physical systems, artificial intelligence, and global connectivity. Although there is abundant literature on the subject, most of it is oriented from a technical and business perspective, and it is optimistic in terms of expected advantages. …”
Get full text

Machine learning based QSAR and Molecular Dynamics simulations in the structural design and mechanism of action of imidazole derivatives with anti-melanoma activity by Rosalvo Ferreira de Oliveira Neto, Sérgio Ruschi Bergamachi Silva, Cintia Emi Yanaguibashi Leal, Edilson Beserra de Alencar Filho

“…A series of 177 imidazo[1,2-a]pyridine and imidazo[1,2-a] pyrazine synthetic derivatives were previously obtained, and their anti-melanoma IC50 values have been determined. Here, Artificial Intelligence algorithms were used to select molecular descriptors and build a QSAR model, highlighting structural characteristics related to enhanced molecular potency. …”
Get full text

Probabilistic Prediction of Mine Dynamic Disaster Risk Based on Multiple Factor Pattern Recognition by Tianwei Lan, Chaojun Fan, Sheng Li, Hongwei Zhang, Adrian Sergaevich Batujin

“…A multifactor pattern recognition model is established by artificial intelligence. The risk probability prediction criteria of mine dynamic disasters and the risk probability values of each unit in the prediction area are determined by using the method of neural network and fuzzy mathematics. …”
Get full text

A Comprehensive and Structured Maturity Model for Measuring AI Adoption Levels in Industry 4.0 by Maria Amelia Eliseo, Leonildo Carnevalli Junior, Ismar Frango Silveira

“…Concurrently, Artificial Intelligence (AI) is at the forefront of a profound shift in organizational management and operations, reshaping professional routines and redefining society's interaction with technology. …”
Get full text

Application Research of Intelligent Classification Technology in Enterprise Data Classification and Gradation System by Lina Yu, Chunwei Wang, Huixian Chang, Sheng Shen, Fang Hou, Yingwei Li

“…This paper introduces artificial intelligence classification, machine learning, and other means to learn and train enterprise documents according to the characteristics of enterprise sensitive data. …”
Get full text

Unlocking practical wisdom through the inner voice of robots by Arianna Pipitone, Irene Seidita, John P. Sullins, Antonio Chella

“…Abstract As Artificial Intelligence and Robotics evolve, the ethical implications of autonomous systems are becoming increasingly paramount. …”
Get full text

EXPLORING THE LEGALITY OF AI IN CUSTOMS PROCEDURES by Andrei-Alexandru STOICA, Aurel Ștefan PICA

“…By synthesising legal, ethical, and practical viewpoints, this study contributes to a nuanced comprehension of the intricate dynamics influencing the legality of artificial intelligence in customs procedures.…”
Get full text

Hourly Forecasting of Solar Photovoltaic Power in Pakistan Using Recurrent Neural Networks by Sohrab Khan, Faheemullah Shaikh, Mokhi Maan Siddiqui, Tanweer Hussain, Laveet Kumar, Afroza Nahar

“…In this work, numerous time series forecast methodologies, including the statistical and artificial intelligence-based methods, are studied and compared fastidiously to forecast PV electricity. …”
Get full text

Propagation Model in Indoor and Outdoor for the LTE Communications by Sun-Kuk Noh, DongYou Choi

“…In the future, we will study the propagation model of 5G mobile communication as well as the current 4G communication using artificial intelligence technology.…”
Get full text

Designing an intelligent dynamic model of preventive maintenance and repairs in the textile and clothing industry in interaction with production using fuzzy-artificial neural netwo... by Mehrdad Javadi, shahram Fatemi, Amir Azizi, Esmaeil Najafi

“…Conducting the research "Designing a dynamic intelligent model of preventive maintenance and repairs using the methodology of artificial nervous system - fuzzy logic and in interaction with the production" of the documents of textile and clothing industries in Borujerd, where the project is implemented and on a sample of 2000 of them, the simulation is Vansim's help and then using the artificial intelligence environment of MATLAB software can be claimed. that if (If); situation "Technology factor in Net" should be good, that is 0.9129; and the situation"employees in the net" is good (the upper limit of the membership function is good), that is, 0.9239; And the status of "working environment factor on the net" is relatively good, that is, exactly 0.8859; And the status of should be completel…”
Get full text

Multi scale multi attention network for blood vessel segmentation in fundus images by Giri Babu Kande, Madhusudana Rao Nalluri, R. Manikandan, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

Get full text

A deep learning method for bias correction of wind field in the South China Sea by Cong Pang, Tao Song, Tao Song, Handan Sun, Xin Li, Danya Xu

Get full text

Regulatory challenges in ai-based diagnostics: Legal implications of ai use in medical diagnostics by Naili Yuris Tri, Mangkunegara Iis Setiawan, Purwono, Baballe Muhammad Ahmad

“…Artificial intelligence (AI) is being used more and more in medical diagnostics, with the potential to increase operational efficiency and diagnosis accuracy. …”
Get full text

An enhanced Bayesian approach for damage identification utilizing prior knowledge from refined elemental modal strain energy ratios by Li Chen, Hui Chen, Lu-ling Liu

Get full text