Article
Computer Science, Artificial Intelligence
K. Raja
Summary: Traditionally, clothes were washed by hand, but now washing machines have replaced manual labor. Washing machines utilize fuzzy logic control system to determine whether clothes need to be washed, in order to save time, energy, and water. Python-based fuzzy logic resolves the issues with MATLAB and achieves high-quality washing.
Article
Thermodynamics
Yu Zeng, Fuchao Cheng
Summary: This paper proposes an automatic control method for thermal boiler steam based on artificial intelligence technology, which can overcome the randomness and inertia of temperature, and achieve accurate control of the boiler compared to traditional methods.
Article
Automation & Control Systems
Mu-Yen Chen, Hsin-Te Wu
Summary: As intelligent transportation systems evolve, this article focuses on the fundamental components of vessels, harbors, and ship-shore information-communication technology applications. By integrating artificial intelligence and the 5G network, the research aims to ensure ship safety through information sharing and the implementation of geofencing technology. The proposed security mechanism detects malicious attacks and improves vessel safety through the use of the 5G network and sensors. The performance analysis and experimental results demonstrate the effectiveness of the network security approach and geofencing technology introduced in this article.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Multidisciplinary
Shuaibing Chang, Shancheng Qi
Summary: This study improves the generalized active disturbance rejection control (GADRC) and proposes an error compensation strategy, which can effectively enhance the performance and stability of the control system.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Dongmei Wei
Summary: This paper proposes a novel deep rejection recognition algorithm and builds an intelligent customer service system with the support of a fuzzy control system, as well as establishes a domain ontology knowledge base for structured storage of domain knowledge.
JOURNAL OF SENSORS
(2021)
Article
Oncology
Ruiheng Zhang, Li Dong, Ruyue Li, Kai Zhang, Yitong Li, Hongshu Zhao, Jitong Shi, Xin Ge, Xiaolin Xu, Libin Jiang, Xuhan Shi, Chuan Zhang, Wenda Zhou, Liangyuan Xu, Haotian Wu, Heyan Li, Chuyao Yu, Jing Li, Jianmin Ma, Wenbin Wei
Summary: Researchers have developed a deep learning algorithm called DLA-RB to accurately identify the progression of retinoblastoma, which can assist in long-term follow-up and screening of high-risk offspring. Compared to traditional referral procedures, DLA-RB-based screening and surveillance are more cost-effective and can be incorporated into telemedicine programs.
BRITISH JOURNAL OF CANCER
(2023)
Article
Computer Science, Artificial Intelligence
Yude Yang, Qin Huang, Peijie Li
Summary: This paper discusses the prediction of static voltage stability index using the Broad Learning System (BLS) and proposes a correction control model based on SHAP-XGBoost-BLS to optimize the system when the stability index exceeds the safe operation index. The results show that the BLS algorithm outperforms the machine model in terms of prediction performance.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Jialan Liu, Chi Ma, Hongquan Gui, Mengyuan Li
Summary: A geometric-thermal error control system (GTECS) is designed for gear profile grinding machines in this study. By combining the mist layer, edge layer, fog layer, and cloud layer, the system predicts and controls geometric and thermal errors, resulting in improved machining precision.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Jaime Diaz-Arancibia, Matias Cordova, Jeferson Arango-Lopez, Danay Ahumada, Fernando Moreira
Summary: This study proposes a software based on computer vision and artificial intelligence to assist kinesiologists in analyzing and measuring lower extremity angles and distances during gait. An open-source pose estimation library, Openpose, is chosen to support the technical implementation. The results show that using this software can save nearly 50% of the time and provide valuable outcomes.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Hyogyeong Park, Sungjung Yong, Yeonhwi You, Seoyoung Lee, Il-Young Moon
Summary: With the development of the content industry, there is a growing demand for movie content, leading to the active development of personalized recommendation systems that match consumers' tastes. This study proposes a method to automatically generate movie tags by extracting background sounds from movie trailers and analyzing their audio features to improve the movie recommendation system.
APPLIED SCIENCES-BASEL
(2022)
Article
Health Care Sciences & Services
Huiwen Zhai, Xin Yang, Jiaolong Xue, Christopher Lavender, Tiantian Ye, Ji-Bin Li, Lanyang Xu, Li Lin, Weiwei Cao, Ying Sun
Summary: The study found that Chinese radiation oncologists had a high overall acceptance of AI-assisted technology for contouring, with low technology resistance and no relation to behavioral intention. Not all factors in the Venkatesh UTAUT model applied to AI technology adoption among physicians in a Chinese context.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Fengling Wang, Zhenlong Hu, Han Wang, Xingji Chen, Weigong Feng
Summary: This article discusses the necessity of cross-domain dynamic access control and introduces several common access control models, as well as the application of blockchain and artificial intelligence in access control. The proposed cross-domain dynamic access control model based on blockchain and AI is superior to other models in terms of confidentiality, integrity, availability, efficiency, and legitimate use. The test results described in this article show that the use of regional chain and AI technology can greatly improve the effectiveness of access control.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Health Care Sciences & Services
Bhakti Patel, Amgad N. Makaryus
Summary: The advances in digital information and communication technology have greatly benefited healthcare, particularly in the field of cardiovascular imaging. The use of digital radiology and artificial intelligence has improved the accuracy and efficiency of diagnoses and treatments.
Article
Computer Science, Cybernetics
Ke Zhang, Jun Zhang, Pei-Dong Xu, Tianlu Gao, David Wenzhong Gao
Summary: This article discusses the interpretability issue in DRL models for power system emergency control, and proposes a Deep-SHAP method based on SHAPs to explain the decision-making process of the DRL model, ensuring trustworthiness and transparency in model decisions.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Sayed Fayaz Ahmad, Muhammad Mansoor Alam, Mohd. Khairil Rahmat, Muhammad Khalil Shahid, Mahnaz Aslam, Nur Agus Salim, Mohammed Hasan Ali Al-Abyadh
Summary: This study aims to design a framework for adopting AI technology in the education sector, addressing the challenges faced by educational organizations in effectively implementing AI and achieving desired outcomes.
Article
Engineering, Multidisciplinary
Limin Chen, Vishal Jagota, Ajit Kumar
Summary: This study proposes a university social science research performance evaluation model based on BP neural network, which shows high efficiency, strong operability, and high accuracy. The BP neural network model performs well in evaluating and optimizing the performance of social science research in colleges and universities.
INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT
(2023)
Article
Engineering, Multidisciplinary
Tarun Kumar Lohani, Melkamu Teshome Ayana, Abdella Kemal Mohammed, Mohammad Shabaz, Gaurav Dhiman, Vishal Jagota
Summary: Gaya, the holy city of Hindus, Buddhists and Jains, is experiencing a severe shortage of potable water. Despite the presence of water bodies, they are unable to meet the needs of the population. The illegal pumping of groundwater has worsened the situation and caused socio-economic issues.
WORLD JOURNAL OF ENGINEERING
(2023)
Article
Food Science & Technology
Surendra Kumar Shukla, B. Muthu Kumar, Divyanshu Sinha, Varsha Nemade, Shynar Mussiraliyeva, R. Sugumar, Rituraj Jain
Summary: Medical science has benefited from AI-based IoT approaches in recent years, making the clinical process easier. IoT technologies enable the exchange of clinical data, aiding in accurate breast cancer detection. This study focuses on using IoT to assist in the early detection of breast cancer.
JOURNAL OF FOOD QUALITY
(2022)
Article
Food Science & Technology
Danish Ather, Suman Madan, Manjushree Nayak, Rohit Tripathi, Ravi Kant, Sapna Singh Kshatri, Rituraj Jain
Summary: A modern worldview in rural areas emphasizes the need for precision in agriculture to tailor soil nutrient solutions to the specific needs of different crops, while reducing fertilizer pollution. This paper highlights the inefficiencies and environmental concerns of relying on farmers' intuition and trial and error for decision-making. It proposes adjusting fertilizer regimes to optimize crop production and protect the environment.
JOURNAL OF FOOD QUALITY
(2022)
Article
Nanoscience & Nanotechnology
Neha Verma, Vishal Jagota, Arnold C. Alguno, Alimuddin, Manik Rakhra, Pawan Kumar, Betty Nokobi Dugbakie
Summary: This study presents a method for manufacturing gold-doped zinc oxide nanospheres and investigates the use of zinc oxide nanoparticles as photocatalysts for dye degradation. The research finds that gold-doped zinc oxide nanoparticles are the most effective for this degradation.
JOURNAL OF NANOMATERIALS
(2022)
Article
Nanoscience & Nanotechnology
Neha Verma, Vishal Jagota, Alimuddin, Arnold C. Alguno, Manik Rakhra, K. Chanthirasekaran, Betty Nokobi Dugbakie
Summary: In this study, nanostructured ZnO with wurtzite structure was created using the spin coating approach. The impact of doped and codoped films on structural, optical properties, and morphological was examined. It was found that antimony-doped ZnO has a larger band gap than Al and antimony-codoped ZnO, making it suitable for gas sensors and solar cells.
JOURNAL OF NANOMATERIALS
(2022)
Review
Computer Science, Software Engineering
Kapil Jairath, Navdeep Singh, Mohammad Shabaz, Vishal Jagota, Bhupesh Kumar Singh
Summary: This paper provides a comprehensive review of metamaterial-inspired patch antennas, including their structures, applications, and advantages. The inclusion of metamaterial in conventional antennas improves their performance and allows for the rejection of unwanted frequency bands within the ultrawideband range by embedding metamaterial-inspired structures. Various studies conducted in the field of metamaterial-inspired antennas are also discussed in this manuscript.
SCIENTIFIC PROGRAMMING
(2022)
Article
Computer Science, Software Engineering
Shuguang Zhang, Kode Srividya, Ismail Kakaravada, Dimitrios A. Karras, Vishal Jagota, Inamul Hasan, Abdul Wahab Rahmani
Summary: This study proposes a global optimization algorithm for intelligent electromechanical control system with improved filling function, which enhances the speed and efficiency of solving multiextremum global problems. By combining intelligent management system and filling function procedure, the algorithm avoids the local optimal solution and finds a better solution.
SCIENTIFIC PROGRAMMING
(2022)
Article
Materials Science, Multidisciplinary
Asaf Hanief Kohli, M. Hanief, Vishal Jagota
Summary: This article explores the impact of surface hardening techniques on the mechanical and tribological properties of modified AISI H13 hot-work die steel at elevated temperature. The study finds that the combination of nitriding methods and austenitizing and tempering temperature greatly influences the material properties. Low nitriding temperature leads to corrosion issues and affects hardness. It is recommended to perform austenitizing prior to plasma nitriding to enhance the steel's resistance to thermal fatigue cracking and sliding wear.
ADVANCES IN MATERIALS AND PROCESSING TECHNOLOGIES
(2023)
Article
Green & Sustainable Science & Technology
Quadri Noorulhasan Naveed, Adel Ibrahim Qahmash, Mohamed Rafik N. Qureshi, Naim Ahmad, Mohammed Aref Abdul Rasheed, Md Akhtaruzzaman
Summary: Mobile Learning (M-Learning), driven by technological digital advancement, is a flexible format of online learning that offers more opportunities to learners. Cloud-based mobile learning (CBML) provides an economic alternative to e-learning and has become more popular due to revolutionary changes in smartphone design. M-Learning and e-learning have played a crucial role in enabling education during the COVID-19 pandemic.
Article
Green & Sustainable Science & Technology
Najmul Hoda, Naim Ahmad, Amjad Aldweesh, Quadri Noorulhasan Naveed
Summary: This study aims to understand how social networking site usage contributes to the formation of online social capital, specifically focusing on LinkedIn and Facebook. The study investigates whether the process differs between these two platforms or remains consistent. Two prominent scales, the Facebook Intensity Scale (FIS) and the Internet Social Capital Scale (ISCS), are validated. A structured questionnaire is used to collect responses from 329 participants, and the data is analyzed using structural equation modeling. The findings indicate that both types of social networking sites result in the formation of online-bonding and online-bridging social capital. Furthermore, the type of social networking site does not affect the relationship between site usage intensity and online social capital. These findings have practical implications for businesses and contribute to the academic understanding of social capital in online networking.
Review
Green & Sustainable Science & Technology
Quadri Noorulhasan Naveed, Heena Choudhary, Naim Ahmad, Jarallah Alqahtani, Adel Ibrahim Qahmash
Summary: This article presents a systematic literature review of M-Learning, analyzing the theories, context, characteristics, and methods used in its implementation. The study identifies various theories that support M-Learning and highlights the contribution of developing countries to the research. Additionally, the article synthesizes the characteristic factors and research designs used in the studies and suggests future research directions.
Article
Computer Science, Information Systems
Abdulhafeez Muhammad, Ansar Siddique, Muhammad Mubasher, Amjad Aldweesh, Quadri Noorulhasan Naveed
Summary: Agile software development lacks the elicitation and management of non-functional requirements (NFRs). This study proposes a model to prioritize NFRs by conducting literature review, survey, and using analytical hierarchical technique (AHP) analysis. The evaluation results show that this model reduces the overhead of gathering and identifying NFRs common to agile products.
Article
Engineering, Mechanical
Rituraj Jain, M. Kalyan Chakravarthi, P. K. Kumar, O. Hemakesavulu, Edwin Ramirez-Asis, Guillermo Pelaez-Diaz, R. Mahaveerakannan
Summary: This study aims to create new electric-powered transportation and reduce environmental damage by using artificial intelligence and Internet of Things (IoT) technologies, along with the development of a smart charging system.
NONLINEAR ENGINEERING - MODELING AND APPLICATION
(2022)
