Mitra Madanchian^1,*, Hamed Taherdoost^1,2,3,4

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2133-2159, 2024, DOI:10.32604/cmc.2024.057094 - 18 November 2024

Abstract This comparative review explores the dynamic and evolving landscape of artificial intelligence (AI)-powered innovations within high-tech research and development (R&D). It delves into both theoretical models and practical applications across a broad range of industries, including biotechnology, automotive, aerospace, and telecommunications. By examining critical advancements in AI algorithms, machine learning, deep learning models, simulations, and predictive analytics, the review underscores the transformative role AI has played in advancing theoretical research and shaping cutting-edge technologies. The review integrates both qualitative and quantitative data derived from academic studies, industry reports, and real-world case studies to showcase the… More >

Byeongcheon Lee¹, Sangmin Kim¹, Muazzam Maqsood², Jihoon Moon^3,*, Seungmin Rho^1,4,*

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1275-1300, 2024, DOI:10.32604/cmc.2024.054826 - 15 October 2024

Abstract In the context of rapid digitization in industrial environments, how effective are advanced unsupervised learning models, particularly hybrid autoencoder models, at detecting anomalies in industrial control system (ICS) datasets? This study is crucial because it addresses the challenge of identifying rare and complex anomalous patterns in the vast amounts of time series data generated by Internet of Things (IoT) devices, which can significantly improve the reliability and safety of these systems. In this paper, we propose a hybrid autoencoder model, called ConvBiLSTM-AE, which combines convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM) to More >

Zhanyang Xu^*, Zhe Wang, Jian Xu, Hongyan Shi, Hong Zhao

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 3991-4015, 2024, DOI:10.32604/cmc.2024.051620 - 12 September 2024

Abstract System logs, serving as a pivotal data source for performance monitoring and anomaly detection, play an indispensable role in assuring service stability and reliability. Despite this, the majority of existing log-based anomaly detection methodologies predominantly depend on the sequence or quantity attributes of logs, utilizing solely a single Recurrent Neural Network (RNN) and its variant sequence models for detection. These approaches have not thoroughly exploited the semantic information embedded in logs, exhibit limited adaptability to novel logs, and a single model struggles to fully unearth the potential features within the log sequence. Addressing these challenges,… More >

Shahid Naseem¹, Tariq Mahmood^2,3, Amjad Rehman Khan², Umer Farooq¹, Samra Nawazish⁴, Faten S. Alamri^5,*, Tanzila Saba²

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 801-817, 2024, DOI:10.32604/cmc.2024.047623 - 25 April 2024

Abstract Recently, there have been several uses for digital image processing. Image fusion has become a prominent application in the domain of imaging processing. To create one final image that proves more informative and helpful compared to the original input images, image fusion merges two or more initial images of the same item. Image fusion aims to produce, enhance, and transform significant elements of the source images into combined images for the sake of human visual perception. Image fusion is commonly employed for feature extraction in smart robots, clinical imaging, audiovisual camera integration, manufacturing process monitoring,… More >

K. Lamore, D. Ogez

Psycho-Oncologie, Vol.16, No.1, pp. 159-161, 2022, DOI:10.3166/pson-2022-0191

Abstract This article has no abstract. More >

Huan Xu¹, Sixuan Chen^2,*

Journal on Internet of Things, Vol.4, No.2, pp. 75-84, 2022, DOI:10.32604/jiot.2022.030610 - 28 March 2023

Abstract Marketing is a very important part of an enterprise. A rational and scientific marketing management can not only reduce the cost of enterprise sales, but also greatly improve the competitiveness of enterprises. The purpose of this paper is to study the innovative application of enterprise marketing management based on the Internet of Things technology. The most suitable competitive strategy of the company is put forward as the centralized strategy. And put forward the clear strategy implementation details, introduced the current situation and history of the Internet of things, and combined with the development status, put… More >

Federico Cappellacci^*, Gian Luigi Canu, Stefano Piras, Giacomo Anedda, Pietro Giorgio Calò, Fabio Medas

Oncologie, Vol.24, No.1, pp. 35-50, 2022, DOI:10.32604/oncologie.2022.020864 - 31 March 2022

Abstract Thyroid cancer is the fifth most common cancer in the USA, with differentiated subtype accounting for more than 95% of neoplasm. Surgery remains the mainstay of treatment, either with lobectomy or total thyroidectomy. In the last decades, many technological innovations have been introduced in this field. The aim of this review is to illustrate the most recent advances regarding the classical surgical approach, particularly regarding hemostatic devices, parathyroid identification with fluorescence systems, intraoperative identification of lymph node metastases, and intraoperative neuromonitoring. More >

Ruhao Ma^1,*, Fansheng Meng¹, Haiwen Du^2,3

Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1623-1637, 2022, DOI:10.32604/iasc.2022.026748 - 24 March 2022

Abstract Blockchain technology ensures the security of cross-organizational data sharing in the process of collaborative innovation. It drives the development of collaborative innovation in discrete manufacturing to intelligent innovation. However, collaborative innovation is a multi-role, networked, and open resource-sharing process. Therefore, it is easy to form information barriers and increase the risk of cooperation between organizations. In this paper, we firstly analyze the blockchain-based information management models in the traditional discrete manufacturing collaborative innovation process. Then, we found that in the process of industry-university-research (IUR) collaborative innovation, consensus servers maintain too many connections due to the… More >

Honghao Gao^1,2, Jung Yoon Kim^2,*, Yuyu Yin³

CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 19-21, 2022, DOI:10.32604/cmes.2022.019665 - 24 January 2022

Abstract This article has no abstract. More >

Vladimiro Vida^*

Congenital Heart Disease, Vol.17, No.1, pp. 1-3, 2022, DOI:10.32604/CHD.2022.019093 - 26 October 2021

Abstract This article has no abstract. More >