Vidivelli Soundararajan^*, Manikandan Ramachandran^*, Srivatsan Vinodh Kumar

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5259-5277, 2025, DOI:10.32604/cmc.2025.063059 - 19 May 2025

Abstract Many applications, including security systems, medical diagnostics, and human-computer interfaces, depend on eye gaze recognition. However, due to factors including individual variations, occlusions, and shifting illumination conditions, real-world scenarios continue to provide difficulties for accurate and consistent eye gaze recognition. This work is aimed at investigating the potential benefits of employing transfer learning to improve eye gaze detection ability and efficiency. Transfer learning is the process of fine-tuning pre-trained models on smaller, domain-specific datasets after they have been trained on larger datasets. We study several transfer learning algorithms and evaluate their effectiveness on eye gaze… More >

Wu-Jiu Sun¹, Xiao Fan Liu^1,2,*

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4117-4136, 2025, DOI:10.32604/cmc.2025.059528 - 06 March 2025

Abstract Predicting information dissemination on social media, specifically users’ reposting behavior, is crucial for applications such as advertising campaigns. Conventional methods use deep neural networks to make predictions based on features related to user topic interests and social preferences. However, these models frequently fail to account for the difficulties arising from limited training data and model size, which restrict their capacity to learn and capture the intricate patterns within microblogging data. To overcome this limitation, we introduce a novel model Adapt pre-trained Large Language model for Reposting Prediction (ALL-RP), which incorporates two key steps: (1)… More >

Konstantinos I. Roumeliotis^1,*, Nikolaos D. Tselikas², Dimitrios K. Nasiopoulos³

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2769-2792, 2025, DOI:10.32604/cmc.2025.059567 - 17 February 2025

Abstract In the rapidly evolving landscape of natural language processing (NLP) and sentiment analysis, improving the accuracy and efficiency of sentiment classification models is crucial. This paper investigates the performance of two advanced models, the Large Language Model (LLM) LLaMA model and NLP BERT model, in the context of airline review sentiment analysis. Through fine-tuning, domain adaptation, and the application of few-shot learning, the study addresses the subtleties of sentiment expressions in airline-related text data. Employing predictive modeling and comparative analysis, the research evaluates the effectiveness of Large Language Model Meta AI (LLaMA) and Bidirectional Encoder… More >

Robertas Damasevicius^*

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 1493-1538, 2025, DOI:10.32604/cmc.2024.057431 - 17 February 2025

Abstract Heuristic optimization algorithms have been widely used in solving complex optimization problems in various fields such as engineering, economics, and computer science. These algorithms are designed to find high-quality solutions efficiently by balancing exploration of the search space and exploitation of promising solutions. While heuristic optimization algorithms vary in their specific details, they often exhibit common patterns that are essential to their effectiveness. This paper aims to analyze and explore common patterns in heuristic optimization algorithms. Through a comprehensive review of the literature, we identify the patterns that are commonly observed in these algorithms, including… More >

Anwar Khatib^1,2,*, Avital Laufer³, Michal Finkelstein², Marc Gelkopf¹

International Journal of Mental Health Promotion, Vol.27, No.1, pp. 19-28, 2025, DOI:10.32604/ijmhp.2024.057925 - 31 January 2025

Abstract Background: Mental health literacy (MHL) refers to one’s knowledge and understanding of mental health disorders and their treatments. This literacy may be influenced by cultural norms and values that shape individuals’ experiences, beliefs, attitudes, and behaviors regarding mental health. This study focuses on adapting the Mental health literacy scale (MHLS) for use in the multicultural context of Israel. Objectives include validating its construct, assessing its accuracy in measuring MHL in this diverse setting and examining and comparing levels of MHL across different cultural groups. Methods: The data collection included 1057 participants, representing all the ethnic… More >

Hocine Bougrine^1,2, Salah Hadjout^1,*, Mohamed Zouidi¹, Abdeldjalil Belkendil¹, Amer Zeghmar¹, Chaouki Boulekdam¹, Walid Ouaret³, Walid Soufan⁴, Fathi Abdellatif Belhouadjeb⁵, Amar Mebarkia²

Phyton-International Journal of Experimental Botany, Vol.94, No.1, pp. 251-267, 2025, DOI:10.32604/phyton.2025.060096 - 24 January 2025

Abstract Salinity stress is a major challenge for global agriculture, particularly in arid and semi-arid regions, limiting plant productivity due to water and soil salinity. These conditions particularly affect countries along the southern Mediterranean rim, including Algeria, which primarily focuses on pastoral and forage practices. This study investigates salinity tolerance and ecotypic variability in Vicia narbonensis L., a fodder legume species recognized for its potential to reclaim marginal soils. Morphological, physiological, and biochemical responses were assessed in three ecotypes (eco2, eco9, and eco10) exposed to different salinity levels (low, moderate, and severe). The study was conducted using… More >

Mohamed M. Kamara¹, Fatmah A. Safhi², Nora M. Al Aboud³, Maha Aljabri³, Samah A. Alharbi³, Hesham S. Ghazzawy^4,5, Mohammed O. Alshaharni⁶, Eman Fayad⁷, Wessam F. Felemban^8,9, Diaa Abd El-Moneim¹⁰, Abdallah A. Hassanin¹¹, Imen Ben Abdelmalek^12,*, Abdelraouf M. Ali¹³, Elsayed Mansour^14,*

Phyton-International Journal of Experimental Botany, Vol.93, No.12, pp. 3465-3485, 2024, DOI:10.32604/phyton.2024.058628 - 31 December 2024

Abstract Developing high-yield maize hybrids is critical for sustaining maize production, especially in the face of rapid climate changes and the growing global population. Exploring the genetic diversity and combining ability in parental inbreds is needed for developing such high-yielding hybrids. Consequently, this study aimed at evaluating parental genetic diversity employing simple sequence repeats (SSR) markers, estimating effects of general (GCA) and specific (SCA) combining abilities for grain yield and yield contributing characters, identifying high yielding hybrids, and evaluating the association of SCA effects and performance of hybrids with genetic distance. Half-diallel mating scheme was utilized… More >

Choon-Peng Chng¹, Changjin Huang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011464

Abstract Biological membranes play crucial roles in cellular functions, serving as dynamic interfaces that regulate the passage of molecules and signals between the cell and its environment. Understanding how these membranes respond to environmental stimuli is paramount in elucidating cellular adaptation and survival mechanisms. In this talk, we will present our recent studies on the structural and mechanical changes of biological membranes in response to two different environmental factors, including the presence of reactive oxygen species (ROS) and dehydration. Through systematic molecular dynamics simulations, we have revealed a dynamic interplay between membrane components, membrane mechanics and… More >

Laviza Falak Naz¹, Rohail Qamar^2,*, Raheela Asif¹, Muhammad Imran², Saad Ahmed³

Intelligent Automation & Soft Computing, Vol.39, No.5, pp. 855-887, 2024, DOI:10.32604/iasc.2024.055074 - 31 October 2024

Abstract Domain shift is when the data used in training does not match the ones it will be applied to later on under similar conditions. Domain shift will reduce accuracy in results. To prevent this, domain adaptation is done, which adapts the pre-trained model to the target domain. In real scenarios, the availability of labels for target data is rare thus resulting in unsupervised domain adaptation. Herein, we propose an innovative approach where source-free domain adaptation models and Generative Adversarial Networks (GANs) are integrated to improve the performance of computer vision or robotic vision-based systems in… More >

Abdelghafour Doghbage^1,*, Safia Belhadj², Hassen Boukerker³, Jean Philippe Mevy⁴, Thierry Gauquelin⁴, Alain Tonetto⁵, Benbader Habib^1,6, Arezki Derridj⁷, Zahra Robã Bouabdelli¹, Walid Soufan⁸, Fathi Abdellatif Belhouadjeb¹

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2383-2413, 2024, DOI:10.32604/phyton.2024.055528 - 30 September 2024

Abstract The Atlas pistachio tree is a typically Mediterranean species, which represents an important forest heritage in the arid and semi-arid regions of Algeria. It is deeply rooted in the local population’s culture, making it essential to better understand this species for its conservation and valorization. Through our work on 7 provenances of Pistacia atlantica distributed across different bioclimates in Algeria and based on 28 quantitative and qualitative leaf, trichome, and stomatal traits, it was revealed that the Atlas pistachio tree exhibits significant ecotypic variability linked to its habitat and a high adaptability to extreme conditions in… More >