Farhad Mortezapour Shiri^*, Thinagaran Perumal, Norwati Mustapha, Raihani Mohamed

Journal on Artificial Intelligence, Vol.6, pp. 301-360, 2024, DOI:10.32604/jai.2024.054314 - 20 November 2024

Abstract Deep learning (DL) has emerged as a powerful subset of machine learning (ML) and artificial intelligence (AI), outperforming traditional ML methods, especially in handling unstructured and large datasets. Its impact spans across various domains, including speech recognition, healthcare, autonomous vehicles, cybersecurity, predictive analytics, and more. However, the complexity and dynamic nature of real-world problems present challenges in designing effective deep learning models. Consequently, several deep learning models have been developed to address different problems and applications. In this article, we conduct a comprehensive survey of various deep learning models, including Convolutional Neural Network (CNN), Recurrent… More >

Sumika Chauhan, Govind Vashishtha^*, Radoslaw Zimroz

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 1983-2020, 2024, DOI:10.32604/cmes.2024.055633 - 31 October 2024

Abstract Sensors, vital elements in data acquisition systems, play a crucial role in various industries. However, their exposure to harsh operating conditions makes them vulnerable to faults that can compromise system performance. Early fault detection is therefore critical for minimizing downtime and ensuring system reliability. This paper delves into the contemporary landscape of fault diagnosis techniques for sensors, offering valuable insights for researchers and academicians. The papers begin by exploring the different types and causes of sensor faults, followed by a discussion of the various fault diagnosis methods employed in industrial sectors. The advantages and limitations More >

Artur V. Dmitrenko^1,2,*, Vladislav M. Ovsyannikov²

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.9, pp. 1925-1939, 2024, DOI:10.32604/fdmp.2024.048389 - 23 August 2024

Abstract The differential equations of continuum mechanics are the basis of an uncountable variety of phenomena and technological processes in fluid-dynamics and related fields. These equations contain derivatives of the first order with respect to time. The derivation of the equations of continuum mechanics uses the limit transitions of the tendency of the volume increment and the time increment to zero. Derivatives are used to derive the wave equation. The differential wave equation is second order in time. Therefore, increments of volume and increments of time in continuum mechanics should be considered as small but finite More >

Awanda Wira Anggini^1,2, Rita Kartika Sari², Efri Mardawati^3,4, Tati Karliati⁵, Apri Heri Iswanto⁶, Muhammad Adly Rahandi Lubis^1,4,*

Journal of Renewable Materials, Vol.12, No.7, pp. 1165-1186, 2024, DOI:10.32604/jrm.2024.051854 - 21 August 2024

Abstract More than a century after its initial synthesis, urea-formaldehyde (UF) resins still have dominant applications as adhesives, paints, and coatings. However, formaldehyde in this industry produces formaldehyde emissions that are dangerous to health. Scientists have spent the last decade replacing formaldehyde and phenol with environmentally friendly substances such as glyoxal and tannin to create bio-based adhesives. This review covers recent advances in synthesizing glyoxal tannin-based resins, especially those made from sustainable raw material substitutes and changes made to synthetic processes to improve mechanical properties. The efficacy of using tannin-glyoxal adhesives in producing wood-based composites has… More > Graphic Abstract

Chuang Liu^1,2, Jing Xie², Hao Liu², Can Zhong², Gen Pan², Shuihan Zhang², Jian Jin^2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1221-1236, 2024, DOI:10.32604/phyton.2024.050759 - 27 June 2024

Abstract Medicinal plants have aroused considerable interest as an alternative to chemical drugs due to the beneficial effects of their active secondary metabolites. However, the extensive use of chemical fertilizers and pesticides in pursuit of yield has caused serious pollution to the environment, which is not conducive to sustainable development in the field of medicinal plants. Microbial fertilizers are a type of “green fertilizer” containing specific microorganisms that can improve the soil microbial structure, enhance plant resistance to biological and abiotic stresses, and increase the yield of medicinal plants. The root exudates of medicinal plants attract… More >

TINGTING LIU^1,#, YIWEI HAO^2,#, LIFENG ZHAO^2,*

BIOCELL, Vol.48, No.5, pp. 707-729, 2024, DOI:10.32604/biocell.2024.049130 - 06 May 2024

Abstract Parkinson’s disease (PD) is a common neurodegenerative disease in the elderly, accounting for more than 1% of the population aged 65 years. Monogenic inheritance is relatively rare in PD, accounting for approximately 5% to 10% of PD patients, and there is a growing body of evidence suggesting that multiple genetic risk factors play a significant role in the pathogenesis of PD. Several groups have identified and reported a number of genes carrying mutations associated with affected family members. Mutated genes associated with PD are also candidates for idiopathic PD, and these genes may also carry… More >

Tezara Cionita^1,*, Mohammad Hazim Mohamad Hamdan², Januar Parlaungan Siregar^3,4,*, Deni Fajar Fitriyana⁵, Ramli Junid⁶, Wong Ling Shing⁷, Jamiluddin Jaafar⁸, Agustinus Purna Irawan⁹, Teuku Rihayat¹⁰, Rifky Ismail¹¹, Athanasius Priharyoto Bayuseno¹¹, Emilianus Jehadus¹²

Journal of Renewable Materials, Vol.12, No.3, pp. 457-483, 2024, DOI:10.32604/jrm.2024.045814 - 11 April 2024

Abstract Recent decades have seen a substantial increase in interest in research on natural fibres that is aligned with sustainable development goals (SDGs). Due to their renewable resources and biodegradability, natural fiber-reinforced composites have been investigated as a sustainable alternative to synthetic materials to reduce the usage of hazardous waste and environmental pollution. Among the natural fibre, jute fibre obtained from a bast plant has an increasing trend in the application, especially as a reinforcement material. Numerous research works have been performed on jute fibre with regard to reinforced thermoset and thermoplastic composites. Nevertheless, current demands More >

Joseph O. Dirisu^1,*, Imhade P. Okokpujie^2,3,*, Olufunmilayo O. Joseph¹, Sunday O. Oyedepo¹, Oluwasegun Falodun⁴, Lagouge K. Tartibu³, Firdaussi D. Shehu¹

Journal of Renewable Materials, Vol.12, No.3, pp. 485-511, 2024, DOI:10.32604/jrm.2024.045188 - 11 April 2024

Abstract Research into converting waste into viable eco-friendly products has gained global concern. Using natural fibres and pulverized metallic waste becomes necessary to reduce noxious environmental emissions due to indiscriminately occupying the land. This study reviews the literature in the broad area of green composites in search of materials that can be used in automotive brake pads. Materials made by biocomposite, rather than fossil fuels, will be favoured. A database containing the tribo-mechanical performance of numerous potential components for the future green composite was established using the technical details of bio-polymers and natural reinforcements. The development… More > Graphic Abstract

XITONG ZHAO, TIANJUAN JU, XINWEI LI, CHANGFENG LIU, LULU WANG^*, LI-AN WU^*

BIOCELL, Vol.48, No.1, pp. 47-64, 2024, DOI:10.32604/biocell.2023.045591 - 30 January 2024

Abstract Dental stem cells (DSCs) have attracted significant interest as autologous stem cells since they are easily accessible and give a minimal immune response. These properties and their ability to both maintain self-renewal and undergo multi-lineage differentiation establish them as key players in regenerative medicine. While many regulatory factors determine the differentiation trajectory of DSCs, prior research has predominantly been based on genetic, epigenetic, and molecular aspects. Recent evidence suggests that DSC differentiation can also be influenced by autophagy, a highly conserved cellular process responsible for maintaining cellular and tissue homeostasis under various stress conditions. This… More >

Bilal Khan¹, Saifullah Jan^1,*, Wahab Khan¹, Muhammad Imran Chughtai²

Journal on Big Data, Vol.6, pp. 1-20, 2024, DOI:10.32604/jbd.2023.046223 - 26 January 2024

Abstract The extraction, transformation, and loading (ETL) process is a crucial and intricate area of study that lies deep within the broad field of data warehousing. This specific, yet crucial, aspect of data management fills the knowledge gap between unprocessed data and useful insights. Starting with basic information unique to this complex field, this study thoroughly examines the many issues that practitioners encounter. These issues include the complexities of ETL procedures, the rigorous pursuit of data quality, and the increasing amounts and variety of data sources present in the modern data environment. The study examines ETL… More >