The phenomenon of academic anxiety has been demonstrated to exert a considerable influence on students’ academic engagement, leading to the emergence of a phenomenon...
The cover image illustrates the crucial role of biostimulants in enhancing plant resilience against various abiotic stresses, including drought, heat, salinity,...
This study provides an in-depth overview of aeroelastic modeling and vibration control techniques for wind turbine blades. The image as a whole illustrates the...
The Asian Association for Pediatric Congenital Heart Surgery (AAPCHS) has formalized a long-term strategic partnership with Congenital Heart Disease (CHD), designating it as the official...
We are thrilled to announce that five journals published by Tech Science Press (TSP) have been successfully indexed in the EBSCO database this year:Frontiers in Heat and Mass TransferPsycho-OncologieRevue...
Accurate medical diagnosis, which involves identifying diseases based on patient symptoms, is often hindered by uncertainties in data interpretation and...
Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation...
Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence,...
Magneto-electro-elastic (MEE) materials are a specific class of advanced smart materials that simultaneously manifest the coupling behavior under electric,...
The emergence of various technologies such as terahertz communications, Reconfigurable Intelligent Surfaces (RIS), and AI-powered communication services...
As Natural Language Processing (NLP) continues to advance, driven by the emergence of sophisticated large language models such as ChatGPT, there has been...
Time series segmentation has attracted more interests in recent years, which aims to segment time series into different segments, each reflects a state...
The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles (IoV) technology. The functional...
Software-Defined Networking (SDN) represents a significant paradigm shift in network architecture, separating network logic from the underlying forwarding...
Since the 1950s, when the Turing Test was introduced, there has been notable progress in machine language intelligence. Language modeling, crucial for...
Steganography is a technique for hiding secret messages while sending and receiving communications through a cover item. From ancient times to the present,...
Image steganography is one of the prominent technologies in data hiding standards. Steganographic system performance mostly depends on the embedding strategy....
COVID-19 pandemic restrictions limited all social activities to curtail the spread of the virus. The foremost and most prime sector among those affected...
The International Skin Imaging Collaboration (ISIC) datasets are pivotal resources for researchers in machine learning for medical image analysis, especially...
Federated learning is an innovative machine learning technique that deals with centralized data storage issues while maintaining privacy and security....
This review describes the mechanisms of natural coagulants. It provides a good understanding of the two key processes of coagulation-flocculation: adsorption...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...
Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...
With the progress of science and technology, more and more complex engineering structures are serving in extreme environments. In the service life of...
Extracellular vesicles (EVs) are phospholipid bilayer vesicles released from tumor and non-tumor cells for intercellular communication. EVs contain...
The peridynamics proposed by Silling [1] is a non-local theory of solid mechanics. It redefines the problems by using integral equations rather than partial...
In modern time, experts started to use interdisciplinary properties with the developing of technology and science. Thus, these disciplines provide more...
More than half of the world population is living in cities. It requires extended infrastructure and various services to support the densely concentrated...
Accurate medical diagnosis, which involves identifying diseases based on patient symptoms, is often hindered by uncertainties in data interpretation and...
Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation...
Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence,...
Magneto-electro-elastic (MEE) materials are a specific class of advanced smart materials that simultaneously manifest the coupling behavior under electric,...
The emergence of various technologies such as terahertz communications, Reconfigurable Intelligent Surfaces (RIS), and AI-powered communication services...
As Natural Language Processing (NLP) continues to advance, driven by the emergence of sophisticated large language models such as ChatGPT, there has been...
Time series segmentation has attracted more interests in recent years, which aims to segment time series into different segments, each reflects a state...
The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles (IoV) technology. The functional...
Software-Defined Networking (SDN) represents a significant paradigm shift in network architecture, separating network logic from the underlying forwarding...
Since the 1950s, when the Turing Test was introduced, there has been notable progress in machine language intelligence. Language modeling, crucial for...
Steganography is a technique for hiding secret messages while sending and receiving communications through a cover item. From ancient times to the present,...
Image steganography is one of the prominent technologies in data hiding standards. Steganographic system performance mostly depends on the embedding strategy....
COVID-19 pandemic restrictions limited all social activities to curtail the spread of the virus. The foremost and most prime sector among those affected...
The International Skin Imaging Collaboration (ISIC) datasets are pivotal resources for researchers in machine learning for medical image analysis, especially...
Federated learning is an innovative machine learning technique that deals with centralized data storage issues while maintaining privacy and security....
This review describes the mechanisms of natural coagulants. It provides a good understanding of the two key processes of coagulation-flocculation: adsorption...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...
Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...
With the progress of science and technology, more and more complex engineering structures are serving in extreme environments. In the service life of...
Extracellular vesicles (EVs) are phospholipid bilayer vesicles released from tumor and non-tumor cells for intercellular communication. EVs contain...
The peridynamics proposed by Silling [1] is a non-local theory of solid mechanics. It redefines the problems by using integral equations rather than partial...
In modern time, experts started to use interdisciplinary properties with the developing of technology and science. Thus, these disciplines provide more...
More than half of the world population is living in cities. It requires extended infrastructure and various services to support the densely concentrated...
In the broader field of mechanical technology, and particularly in the context of self-driving vehicles, cameras and Light Detection and Ranging (LiDAR) sensors provide complementary modalities that hold significant potential for sensor fusion. However, directly merging multi-sensor data through point projection often results in information loss due to quantization, and managing the differing data formats from multiple sensors remains a persistent challenge. To address these issues, we propose a new fusion method that leverages continuous…
Precisely forecasting the performance of Deep Learning (DL) models, particularly in critical areas such as Uniform Resource Locator (URL)-based threat detection, aids in improving systems developed for difficult tasks. In cybersecurity, recognizing harmful URLs is vital to lowering risks associated with phishing, malware, and other online-based attacks. Since it directly affects the model’s capacity to differentiate between benign and harmful URLs, finding the optimum mix of hyperparameters in DL models is a significant difficulty. Two…
The increasing severity of air pollution necessitates more effective and sustained air filtration technology. Concurrently, the desire for more environmentally friendly, sustainable materials with better filtering performance and less environmental impact drives the move away from conventional synthetic membranes. This review presents lignocellulosic biocomposite (LigBioComp) membranes as an alternative to traditional synthetic membranes. It focuses on their materials, fabrication, and functionalization techniques while exploring challenges and proposing methods for resourceful utilization. Renowned for their…
Developing favorable bio-based polymers that replace petroleum-based plastics is an essential environmental demand. Lignin is a by-product of the chemical pulping industry. It is a natural UV protection ingredient in broad-spectrum (UVA and UVB) sunscreens. It could be partially and selectively acetylated in a simple, fast, and more reliable process. In this work, a composite film was prepared with UV-resistant properties through a casting method. Bio-based cellulose acetate (CA) was employed as a major matrix…
This study aimed to develop and characterize biodegradable packaging film from blends of two natural polysaccharides, i.e., agar and glucomannan. The glucomannan used was derived from the specific tuber plant Amorphophallus oncophyllus (locally known as “porang”), which grows abundantly in Indonesian forests and remains underutilized. Various ratios of agar and porang-glucomannan (PG) proportions were formulated to produce a food packaging film, which was subsequently tested for its mechanical, physical, chemical, and thermal properties. The results…
The effect of using 2% and 10% sodium hydroxide solution as surface treatment of rape straw on its water vapor adsorption properties is analyzed in the relative humidity (RH) range of 0% to 98%. Scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), and Fourier-transform infrared spectroscopy (FTIR) are used to investigate the morphological, chemical and structural changes of the treated straw surface. The mineral particles formed on the surface after the treatment are analyzed using…
Studies on the use of renewable materials for various applications, including polymers, have gained momentum due to global climate change and the push towards a circular economy. In this study, polymer resins were developed through Michael 1,4-addition. The precursors were synthesized from tall oil-based acetoacetates derived from epoxidized tall oil fatty acids or their methyl esters. Two different epoxidation methods were employed: enzymatic epoxidation of tall oil fatty acids and ion-exchange resin epoxidation of tall…
In this study, two series of foams based on tannic acid (TA), furfuryl alcohol (FA), soybean protein isolate (SPI), and casein (CA), namely TA–FA–SPI (TS series) and TA–FA–CA (TC series) were developed, and their properties were enhanced by adding poplar fibers (WF). From the samples produced, a complete set of characterization was performed including possible crosslinking reactions, morphology, mechanical properties, flame retardancy, thermal insulation and thermal stability. Fourier-transform infrared spectroscopy (FTIR) revealed possible covalent crosslinking…
The extensive use of polymeric materials in single-use packaging has driven the need to develop biodegradable alternatives. This study investigates the incorporation of graphene oxide (GO) and Moringa oleifera seed oil (MOSO) into a gelatin matrix to create polymer films and evaluate their potential as active packaging materials. The properties of these films were evaluated using structural, thermal, mechanical, optical, and physicochemical methods to determine their suitability for food packaging applications. The results showed that…
With growing concerns for global warming and environmental issues, the research community has contributed significantly to green technology in the area of material science through the development of natural fiber-reinforced polymer composites (NFRPC). Polymers serve as the matrix in NFRPC, while natural fibers serve as the reinforcing materials. Demand for high-performing materials made with natural resources is growing continuously. Natural fiber-reinforced polymer composites are sustainable biocomposites fabricated with natural fibers embedded with a polymer…
The main raw material utilized in wood adhesives comes from petrochemical extractives. However, due to the excessive dependence on petrochemical resources and the adverse impact on the ecosystem and human well-being, there is an increasing trend to develop byproduct protein-based adhesives in the current global food safety context. In this research, flaxseed meal was subjected to pretreatment, and trimethylolpropane triglycidyl ether (TTE) and ethylenediamine (EN) were utilized as crosslinkers to establish a more compact…
This review is composed of three main parts each of which is written by well-known top specialists that have been, in a way or other, also the main participants of the majority of the developments reported. Thus, after a general part covering the grand lines and more in-depth views of more recent tannin, lignin, carbohydrate and soy bioadhesives, some mix of the other bio raw materials with soy protein and soy flour and some other…
With the internet and modern mobile technologies, health-related information is readily available, and thus, the security aspect of health information is at great risk. Confidentiality and protection of medical information regarding patients are of prime concern in the context of sharing such data with different healthcare providers. On one hand, Electronic Health Record Systems (EHRS) and online sites have proved to be hassle-free ways of exchanging medical information between health professionals. On the other hand,…
A quick response code is a barcode that allows users to instantly access information via a digital device. Quick response codes store data as pixels in a square-shaped grid. QR codes are prone to cyber-attacks. This assault exploits human vulnerabilities, as users can scarcely discern what is concealed in the quick response code prior to usage. The aim of the study was to investigate Quick Response code attack types and the detection techniques. To achieve…
This critical review provides an in-depth analysis of Large Language Models (LLMs), encompassing their foundational principles, diverse applications, and advanced training methodologies. We critically examine the evolution from Recurrent Neural Networks (RNNs) to Transformer models, highlighting the significant advancements and innovations in LLM architectures. The review explores state-of-the-art techniques such as in-context learning and various fine-tuning approaches, with an emphasis on optimizing parameter efficiency. We also discuss methods for aligning LLMs with human preferences, including…
Fog computing is a key enabling technology of 6G systems as it provides quick and reliable computing, and data storage services which are required for several 6G applications. Artificial Intelligence (AI) algorithms will be an integral part of 6G systems and efficient task offloading techniques using fog computing will improve their performance and reliability. In this paper, the focus is on the scenario of Partial Offloading of a Task to Multiple Helpers (POMH) in which…
Guest Editors: José Braga de Vasconcelos; Hugo Barbosa Deadline: 10 November 2025
Guest Editors: Marcin Kamiński; Wojciech Sumelka Deadline: 01 October 2025
Guest Editors: Leong Hien Poh; Jie Zhi; Qixun Li; Yifeng Zhong Deadline: 30 September 2025
Guest Editors: Wei-Chiang Hong; Yi Liang Deadline: 30 September 2025
Guest Editors: Man-Fai Leung; Athanasios V. Vasilakos Deadline: 01 September 2025
Guest Editors: Viktor Gribniak; Zdeněk Kala; Constantin E. Chalioris Deadline: 31 August 2025
Guest Editors: Zhiqiang Yang; Zifeng Yuan; Yuhang Jing; Xia Tian Deadline: 31 August 2025
Guest Editors: Reliance Jain; Sheetal Kumar Dewangan; Sandeep Jain; Rameshwar... Deadline: 31 July 2025
Guest Editors: J. Paulo Davim; Ankit D. Oza Deadline: 15 July 2025
Guest Editors: Alessio Cascardi; Salvatore Verre Deadline: 01 July 2025
Guest Editors: Leonardo Di G. Sigalotti; Fidel Cruz Peregrino; Jaime Klapp Deadline: 01 July 2025
Guest Editors: Nguyen Xuan Hung; Lei Chen; Jonathan Tran; Zhuo Wang Deadline: 30 June 2025
Guest Editors: Nurul Mu'azzah Abdul Latiff; Fahad Taha AL-Dhief; Musatafa Abbas... Deadline: 30 June 2025
Guest Editors: Boyun Guo; Yin Feng Deadline: 15 June 2025
Guest Editors: Fateh Mebarek-Oudina; Ioannis E. Sarris Deadline: 15 June 2025
Guest Editors: A. Dounis; I. Kalatzis Deadline: 31 May 2025