Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders by Souhaila Khalfallah, William Puech, Mehdi Tlija, Kais Bouallegue

Get full text

Application of EPR spectroscopy method for comparative analysis of structural damage accumulation kinetics in two-phase lithium-containing ceramics by Dmitriy I. Shlimas, Daryn B. Borgekov, Artem L. Kozlovskiy

Get full text

Economic Diplomacy of the Russian Federation: Prospects for the Development of an Eff ective Export Support System by A. A. Naryshkin

“…For the Russian Federation this issue acquires particular relevance under present conditions, since the expansion of industrial exports is designed to reduce dependence on commodity exports, strengthen national competitiveness, ensure economic growth, and, correspondingly improve the quality of life of its population. …”
Get full text

Vertical wind profile distribution within canopy layer based on representative geometry model using wind tunnel experiment by S. A. Zaki, Y. M. H’ng, A. F. Mohammad, Jorge Alfredo Ardila‑Rey, Noor Alam, Mardiana Idayu Ahmad

Get full text

Codesign approaches involving older adults in the development of electronic healthcare tools: a systematic review by Karthik Adapa, Lukasz Mazur, Amy C Cole, Amro Khasawneh, Daniel R Richardson

Get full text

Single-Fed Broadband CP Bidirectional Antenna with Double-Layer Diagonally Aligned Plates for Universal UHF-RFID Applications by Sitthichai Dentri, Khanet Pookkapund, Bancha Luadang, Prayoot Akkaraekthalin, Chuwong Phongcharoenpanich

Get full text

Enhancing university remote language learning through innovative applications of artificial intelligence technologies amidst global challenges by N. Sarnovska, J. Rybinska, Yu. Mykhailichenko

“…In recent years, the integration of artificial intelligence (AI) technologies has revolutionised various industries, and education is no exception. One area where AI is making significant strides is in distance learning of foreign languages at the university level. …”
Get full text

Facile Preparation of Biocomposite from Prawn Shell Derived Chitosan and Kaolinite-Rich Locally Available Clay by Shanta Biswas, Taslim U. Rashid, Abul K. Mallik, Md. Minhajul Islam, M. Nuruzzaman Khan, Papia Haque, Mala Khan, Mohammed Mizanur Rahman

Get full text

Utilization of CO2 and recycling of methanol Residue from the refining process for production of Bio-Methanol by Rujira Jitrwung, Kuntima Krekkeitsakul, Nattawee Teerananont, Parinya Thongyindee, Weerawat Patthaveekongka, Chinnathan Areeprasert

Get full text

Multi-Physical Field Coupling Analysis of Electro-Controlled Permanent Magnet Blank Holder Processes Considering Thermal Magnetic Losses by Zhanshan Wang, Linyuan Meng, Gaochao Yu, Xiaoyu Ji

Get full text

El legado pedagógico de Fernando González y su impacto en la formación de Estanislao Zuleta by Manuel Eduardo Moreno-García

Get full text

Optimized preparation of dithiocarboxylated polyethyleneimine-polyacrylamide and its Cu(Ⅱ) removal performance and mechanism by SANG Fangjuan, WANG Gang, WANG Xue, YANG Xiaomin

Get full text

PM2.5/PM10 Ratios in Eight Economic Regions and Their Relationship with Meteorology in China by Danting Zhao, Hong Chen, Erze Yu, Ting Luo

“…The results indicated that PM2.5/PM10 ratios showed an increasing trend from northwest to southeast due to different economic development and industrial types. The highest values were observed in winter among all regions, and the ratios on weekends were higher than that of on weekdays in most of the regions. …”
Get full text

CDGFD: Cross-Domain Generalization in Ethnic Fashion Design Using LLMs and GANs: A Symbolic and Geometric Approach by Meizhen Deng, Ling Chen

“…These findings suggest significant potential for AI-driven innovation in ethnic fashion design, with applications in both cultural preservation and modern fashion industries.…”
Get full text

Hardcoded vulnerability detection approach for IoT device firmware by Chao MU, Xin WANG, Ming YANG, Heng ZHANG, Zhenya CHEN, Xiaoming WU

“…With the popularization of IoT devices, more and more valuable data is generated.Analyzing and mining big data based on IoT devices has become a hot topic in the academic and industrial circles in recent years.However, due to the lack of necessary detection and protection methods, many IoT devices have serious information security risks.In particular, device hard-coded information is closely related to system encryption and decryption, identity authentication and other functions, which can provide confidentiality protection for core data.Once this information is exploited by malicious attackers, serious consequences such as sensitive information leakage, backdoor attacks, and unauthorized logins will occur.In response to this problem, a multi-type character recognition and positioning scheme was designed and a hard-coded vulnerability detection method in executable files was proposed based on the study of the characteristics of hard-coded vulnerabilities in IoT devices.The proposed method extracted the firmware of IoT devices and filtered all executable files as the source to be analyzed.Then, a solution to identify and locate three types of hard-coded characters was provided.Further, the reachability of the function, where the hard-coded character was located, was analyzed according to the function call relationship.Meanwhile, the instruction heterogeneity was mitigated by an intermediate representation (IR) model.The character and parameter hard-coded values was obtained through a data flow analysis approach.A symbolic execution method was devised to determine the trigger conditions of the hard-coded vulnerabilities, and then the vulnerability detection result was output.On the one hand, the proposed method introduced the method of symbolic execution based on the use of the intermediate representation model, which eliminated the dependency of instruction architecture and reduces the false positive rate of vulnerabilities; On the other hand, this method can integrate characters, files, and cryptographic implementation to realize the different characteristics of three types of hard-coded characters, which increased the coverage of vulnerability detection and improves the versatility of the detection method.The experimental results show that the proposed method can effectively detect three types of hard-coded vulnerabilities of characters, files and cryptographic implementation in various IoT devices, and has good detection accuracy, which can provide certain guidance for the deployment of subsequent security protection technologies.…”
Get full text

Les territoires de l’agrobusiness au Brésil by Denise Elias

“…The argument is that, in Brazil, a significant part of the changes in the field in the last five decades, due to the restructuring process of agriculture, understood as an exacerbation of the capitalist mode of production in the sector, and the organization of agro-industrial networks, promoting changes in social and technical elements of the agrarian structure. …”
Get full text

Optimizing Hydrogen Production in the Co-Gasification Process: Comparison of Explainable Regression Models Using Shapley Additive Explanations by Thavavel Vaiyapuri

“…By integrating Shapley Additive Explanations (SHAP) into model evaluation, this work is the first to provide detailed insights into feature importance and demonstrate the operational feasibility of ML models for industrial-scale hydrogen production in the co-gasification process. …”
Get full text

Deep learning technology: enabling safe communication via the internet of things by Ramiz Salama, Hitesh Mohapatra, Tuğşad Tülbentçi, Fadi Al-Turjman

Get full text

Analysis of sensitive urban form indicators of flood susceptible prediction based on machine learning models by M. Srivanit, S. Pattanasri, N. Phichetkunbodee, S. Manokeaw, S. Sitthikankun, D. Rinchumphu

Get full text

The Evaluation of Thermodynamics and Environmental Impact of Waste Heat Recovery System Using Alternative Refrigerants by Aisyah Nyayu, Mukhtar Ariyadi Hifni, Ayu Putri Pratiwi Ilham, Sugiyanto, Fuadi Robith

Get full text