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From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy

Maanak Gupta, Charankumar Akiri, Kshitiz Aryal, Eli Parker et al. • IEEE Access (2023)

Undoubtedly, the evolution of Generative AI (GenAI) models has been the highlight of digital transformation in the year 2022. As the different GenAI models like ChatGPT and Google Bard continue to foster their complexity and capability, it’...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1109/access.2023.3300381

Automation of a problem list using natural language processing

Stéphane M. Meystre, Peter John Haug • BMC Medical Informatics and Decision Making (2005)

BACKGROUND: The medical problem list is an important part of the electronic medical record in development in our institution. To serve the functions it is designed for, the problem list has to be as accurate and timely as possible. However,...

OPENALEX cc-by DOI: https://doi.org/10.1186/1472-6947-5-30 PMC: 1208893

Natural Language Processing

Santanu Pattanayak • Apress eBooks (2022)

In the modern age of information and analytics, natural language processing (NLP) is one of the most important technologies out there. Making sense of complex structures in language and deriving insights and actions from it are crucial from...

OPENALEX DOI: https://doi.org/10.1007/978-1-4842-8931-0_4

Neural networks in process fault diagnosis

T. Sorsa, Heikki N. Koivo, Hannu J. Koivisto • IEEE Transactions on Systems Man and Cybernetics (1991)

Fault detection and diagnosis is an important problem in process automation. Both model-based methods and expert systems have been suggested to solve the problem, along with the pattern recognition approach. A number of possible neural netw...

OPENALEX DOI: https://doi.org/10.1109/21.108299

Neural network computing

• Choice Reviews Online (1994)

At present, computers cannot think, make independent decisions, recognize visual and audible patterns, reach reliable conclusions without complete information or learn from their mistakes. The question this book and research into artificial...

OPENALEX DOI: https://doi.org/10.5860/choice.32-2176

Neural Networks as Tools in Construction

Osama Moselhi, Tarek Hegazy, Paul Fazio • Journal of Construction Engineering and Management (1991)

The competitive and risk‐averse nature of the construction industry and its heuristic problem‐solving needs, among other reasons, have contributed to the development of nontraditional decision‐making tools. Research in artificial intelligen...

OPENALEX DOI: https://doi.org/10.1061/(asce)0733-9364(1991)117:4(606)

Layout and Assembly Selection Algorithm for Standard Ring+Turning Ring Shield Tunnel Segments

XIONG Dongdong, YANG Zhao, XU Chao • Chengshi guidao jiaotong yanjiu (2024)

Objective To address the challenges associated with the manual layout and point selection of S+T (standard rings+turning rings (double-sided wedges)) in shield tunnel segments, including high subjectivity, complex calculations, and heavy re...

DOAJ Open Access (DOAJ) DOI: 10.16037/j.1007-869x.2024.10.005

Default Detection Rate-Dependent Software Reliability Model with Imperfect Debugging

Ce Zhang, Wei-Gong Lv, Sheng Sheng, Jin-Yong Wang et al. • Applied Sciences (2022)

From the perspective of FDR (fault detection rate), which is an indispensable component in reliability modeling, this paper proposes two kinds of reliability models under imperfect debugging. This model is a relatively flexible and unified ...

DOAJ Open Access (DOAJ) DOI: 10.3390/app122110736

The Mode of Constructing Safe Trajectories of Motion of the Unmanned Aerial Vehicle while Monitoring Power Lines Considering the Influence of their Electromagnetic Fields

Shabanova A.R., Tolstoy I.M., Lebedev I.V. • Problems of the Regional Energetics (2019)

The aim of this paper is to increase the flight safety of an unmanned aerial vehicle that monitors power lines under the negative influence of electromagnetic fields on the on-board equipment. This problem was solved with algorithms for pho...

DOAJ Open Access (DOAJ) DOI: 10.5281/zenodo.3562201

A design method for booster motor of brake-by-wire system based on intelligent electric vehicle

Bumin Meng, Zhengzhao Zhou, Congyue Zhang, Feifan Yang • Green Energy and Intelligent Transportation (2023)

ABSTRACT: The brake-by-wire (BBW) system is an essential part of the intelligent electric vehicle, which is determination of the braking safety and recovery efficiency. To design a safe and efficient booster motor, the design of booster mot...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.geits.2023.100110

Laser-induced porous graphene electrodes from polyketimine membranes for paracetamol sensing

Sabrine Baachaoui, Walid Mabrouk, Khaled Charradi, Bechir Slimi et al. • Royal Society Open Science (2023)

The development of cost-effective materials for fabricating electrodes is crucial for drug, pharmaceutical and environmental applications. This paper presents the synthesis and characterization of a novel polyketimine (PKI) membrane obtaine...

DOAJ Open Access (DOAJ) DOI: 10.1098/rsos.230294

Multi-regional energy sharing approach for shared energy storage and local renewable energy resources considering efficiency optimization

Wenyang Deng, Dongliang Xiao, Mingli Chen, Muhammad Faizan Tahir et al. • International Journal of Electrical Power & Energy Systems (2025)

As distributed photovoltaic and shared energy storage systems expanded on the user side, developing an energy-sharing mechanism across different regions became crucial for fully utilizing local renewable energy resources and maximizing the ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ijepes.2025.110592

Empowering Sustainability: The Crucial Role of IoT-Enabled Distributed Learning Systems in Reducing Carbon Footprints

Anjana M S, Aryadevi Remanidevi Devidas, Maneesha Vinodini Ramesh • IEEE Access (2025)

Electrical energy plays a pivotal role in modern society by powering homes, industries, and transportation systems. However, the production of electricity is associated with significant carbon emissions, primarily from fossil fuel-based pow...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3539333

Text Mining in Cybersecurity

Luciano Ignaczak, Guilherme Goldschmidt, Cristiano André da Costa, Rodrigo da Rosa Righi • ACM Computing Surveys (2021)

The growth of data volume has changed cybersecurity activities, demanding a higher level of automation. In this new cybersecurity landscape, text mining emerged as an alternative to improve the efficiency of the activities involving unstruc...

OPENALEX DOI: https://doi.org/10.1145/3462477

Automated monitoring innovations for efficient and safe construction practices

Muhammad Ali Musarat, Abdul Mateen Khan, Wesam Salah Alaloul, Noah Blas et al. • Results in Engineering (2024)

As construction projects increase in complexity, there are growing challenges with conventional monitoring methods in terms of efficiency, safety, and competitiveness. Traditional supervision techniques are labour-intensive, intermittent, a...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rineng.2024.102057