Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (2,437)
  • Open Access

    REVIEW

    A Critical Review of Methods and Challenges in Large Language Models

    Milad Moradi1,*, Ke Yan2, David Colwell2, Matthias Samwald3, Rhona Asgari1

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 1681-1698, 2025, DOI:10.32604/cmc.2025.061263 - 17 February 2025

    Abstract 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 reinforcement learning frameworks and human feedback mechanisms. The emerging technique of retrieval-augmented generation, which integrates external knowledge into LLMs, is More >

  • Open Access

    ARTICLE

    GPU Usage Time-Based Ordering Management Technique for Tasks Execution to Prevent Running Failures of GPU Tasks in Container Environments

    Joon-Min Gil1, Hyunsu Jeong1, Jihun Kang2,*

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2199-2213, 2025, DOI:10.32604/cmc.2025.061182 - 17 February 2025

    Abstract In a cloud environment, graphics processing units (GPUs) are the primary devices used for high-performance computation. They exploit flexible resource utilization, a key advantage of cloud environments. Multiple users share GPUs, which serve as coprocessors of central processing units (CPUs) and are activated only if tasks demand GPU computation. In a container environment, where resources can be shared among multiple users, GPU utilization can be increased by minimizing idle time because the tasks of many users run on a single GPU. However, unlike CPUs and memory, GPUs cannot logically multiplex their resources. Additionally, GPU memory… More >

  • Open Access

    REVIEW

    Particle Swarm Optimization: Advances, Applications, and Experimental Insights

    Laith Abualigah*

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 1539-1592, 2025, DOI:10.32604/cmc.2025.060765 - 17 February 2025

    Abstract Particle Swarm Optimization (PSO) has been utilized as a useful tool for solving intricate optimization problems for various applications in different fields. This paper attempts to carry out an update on PSO and gives a review of its recent developments and applications, but also provides arguments for its efficacy in resolving optimization problems in comparison with other algorithms. Covering six strategic areas, which include Data Mining, Machine Learning, Engineering Design, Energy Systems, Healthcare, and Robotics, the study demonstrates the versatility and effectiveness of the PSO. Experimental results are, however, used to show the strong and More >

  • Open Access

    ARTICLE

    MACLSTM: A Weather Attributes Enabled Recurrent Approach to Appliance-Level Energy Consumption Forecasting

    Ruoxin Li1,*, Shaoxiong Wu1, Fengping Deng1, Zhongli Tian1, Hua Cai1, Xiang Li1, Xu Xu1, Qi Liu2,3

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2969-2984, 2025, DOI:10.32604/cmc.2025.060230 - 17 February 2025

    Abstract Studies to enhance the management of electrical energy have gained considerable momentum in recent years. The question of how much energy will be needed in households is a pressing issue as it allows the management plan of the available resources at the power grids and consumer levels. A non-intrusive inference process can be adopted to predict the amount of energy required by appliances. In this study, an inference process of appliance consumption based on temporal and environmental factors used as a soft sensor is proposed. First, a study of the correlation between the electrical and… More >

  • Open Access

    ARTICLE

    A Perspective-Aware Cyclist Image Generation Method for Perception Development of Autonomous Vehicles

    Beike Yu1, Dafang Wang1,*, Xing Cui2, Bowen Yang1

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2687-2702, 2025, DOI:10.32604/cmc.2024.059594 - 17 February 2025

    Abstract Realistic urban scene generation has been extensively studied for the sake of the development of autonomous vehicles. However, the research has primarily focused on the synthesis of vehicles and pedestrians, while the generation of cyclists is rarely presented due to its complexity. This paper proposes a perspective-aware and realistic cyclist generation method via object retrieval. Images, semantic maps, and depth labels of objects are first collected from existing datasets, categorized by class and perspective, and calculated by an algorithm newly designed according to imaging principles. During scene generation, objects with the desired class and perspective… More >

  • Open Access

    ARTICLE

    Optimizing Airline Review Sentiment Analysis: A Comparative Analysis of LLaMA and BERT Models through Fine-Tuning and Few-Shot Learning

    Konstantinos I. Roumeliotis1,*, 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 >

  • Open Access

    ARTICLE

    HRAM-VITON: High-Resolution Virtual Try-On with Attention Mechanism

    Yue Chen1, Xiaoman Liang1,2,*, Mugang Lin1,2, Fachao Zhang1, Huihuang Zhao1,2

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2753-2768, 2025, DOI:10.32604/cmc.2024.059530 - 17 February 2025

    Abstract The objective of image-based virtual try-on is to seamlessly integrate clothing onto a target image, generating a realistic representation of the character in the specified attire. However, existing virtual try-on methods frequently encounter challenges, including misalignment between the body and clothing, noticeable artifacts, and the loss of intricate garment details. To overcome these challenges, we introduce a two-stage high-resolution virtual try-on framework that integrates an attention mechanism, comprising a garment warping stage and an image generation stage. During the garment warping stage, we incorporate a channel attention mechanism to effectively retain the critical features of… More >

  • Open Access

    ARTICLE

    A Study on Polyp Dataset Expansion Algorithm Based on Improved Pix2Pix

    Ziji Xiao1, Kaibo Yang1, Mingen Zhong1,*, Kang Fan2, Jiawei Tan2, Zhiying Deng1

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2665-2686, 2025, DOI:10.32604/cmc.2024.058345 - 17 February 2025

    Abstract The polyp dataset involves the confidentiality of medical records, so it might be difficult to obtain datasets with accurate annotations. This problem can be effectively solved by expanding the polyp data set with algorithms. The traditional polyp dataset expansion scheme usually requires the use of two models or traditional visual methods. These methods are both tedious and difficult to provide new polyp features for training data. Therefore, our research aims to efficiently generate high-quality polyp samples, so as to effectively expand the polyp dataset. In this study, we first added the attention mechanism to the… More >

  • Open Access

    ARTICLE

    Efficient Data Aggregation and Message Transmission for Information Processing Model in the CPS-WSN

    Chao-Hsien Hsieh1, Qingqing Yang2,*, Dehong Kong2, Fengya Xu2, Hongmei Wang2

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2869-2891, 2025, DOI:10.32604/cmc.2024.058122 - 17 February 2025

    Abstract The Cyber-Physical Systems (CPS) supported by Wireless Sensor Networks (WSN) helps factories collect data and achieve seamless communication between physical and virtual components. Sensor nodes are energy-constrained devices. Their energy consumption is typically correlated with the amount of data collection. The purpose of data aggregation is to reduce data transmission, lower energy consumption, and reduce network congestion. For large-scale WSN, data aggregation can greatly improve network efficiency. However, as many heterogeneous data is poured into a specific area at the same time, it sometimes causes data loss and then results in incompleteness and irregularity of… More >

  • Open Access

    ARTICLE

    A Novel Control Strategy Based on -VSG for Inter-Face Converter in Hybrid Microgrid

    Kai Shi, Dongyang Yang*

    Energy Engineering, Vol.122, No.2, pp. 471-492, 2025, DOI:10.32604/ee.2025.059651 - 31 January 2025

    Abstract The rapid development of new energy power generation technology and the transformation of power electronics in the core equipment of source-grid-load drives the power system towards the “double-high” development pattern of “high proportion of renewable energy” and “high proportion of power electronic equipment”. To enhance the transient performance of AC/DC hybrid microgrid (HMG) in the context of “double-high,” a type virtual synchronous generator (-VSG) control strategy is applied to bidirectional interface converter (BIC) to address the issues of lacking inertia and poor disturbance immunity caused by the high penetration rate of power electronic equipment and… More >

Displaying 1-10 on page 1 of 2437. Per Page