Sheik Mohideen Shah¹, Meganathan Selvamani¹, Mahesh Thyluru Ramakrishna^2,*, Surbhi Bhatia Khan^3,4,5, Shakila Basheer⁶, Wajdan Al Malwi⁷, Mohammad Tabrez Quasim⁸

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2907-2926, 2025, DOI:10.32604/cmc.2025.063809 - 16 April 2025

Abstract Efficient energy management is a cornerstone of advancing cognitive cities, where AI, IoT, and cloud computing seamlessly integrate to meet escalating global energy demands. Within this context, the ability to forecast electricity consumption with precision is vital, particularly in residential settings where usage patterns are highly variable and complex. This study presents an innovative approach to energy consumption forecasting using a bidirectional Long Short-Term Memory (LSTM) network. Leveraging a dataset containing over two million multivariate, time-series observations collected from a single household over nearly four years, our model addresses the limitations of traditional time-series forecasting… More >

Mohammed Abdelmajeed^1,*, Jiangbin Zheng¹, Ahmed Murtadha¹, Youcef Nafa¹, Mohammed Abaker², Muhammad Pervez Akhter³

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3471-3491, 2025, DOI:10.32604/cmc.2025.059870 - 16 April 2025

Abstract Arabic Dialect Identification (DID) is a task in Natural Language Processing (NLP) that involves determining the dialect of a given piece of text in Arabic. The state-of-the-art solutions for DID are built on various deep neural networks that commonly learn the representation of sentences in response to a given dialect. Despite the effectiveness of these solutions, the performance heavily relies on the amount of labeled examples, which is labor-intensive to attain and may not be readily available in real-world scenarios. To alleviate the burden of labeling data, this paper introduces a novel solution that leverages… More >

Ziwen Cai^1,2, Yun Zhao^1,2, Zongyi Wang^1,2, Tonghe Wang^3,*, Yunfeng Li^1,2, Hao Wang³

Energy Engineering, Vol.122, No.4, pp. 1221-1248, 2025, DOI:10.32604/ee.2025.061452 - 31 March 2025

Abstract With the severe challenges brought by global climate change, exploring and developing clean and renewable energy systems to upgrade the energy structure has become an inevitable trend in related research. The comprehensive park systems integrated with photovoltaic, energy storage, direct current, and flexible loads (PEDF) is able to play an important role in promoting energy transformation and achieving sustainable development. In order to fully understand the advantages of PEDF parks in energy conservation and carbon reduction, this paper summarizes existing studies and prospects future research directions on the low-carbon operation of the PEDF park. This… More >

Di Wu^*, Liming Feng, Xiaoyu Wang

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 977-999, 2025, DOI:10.32604/cmc.2025.060319 - 26 March 2025

Abstract Semi-supervised new intent discovery is a significant research focus in natural language understanding. To address the limitations of current semi-supervised training data and the underutilization of implicit information, a Semi-supervised New Intent Discovery for Elastic Neighborhood Syntactic Elimination and Fusion model (SNID-ENSEF) is proposed. Syntactic elimination contrast learning leverages verb-dominant syntactic features, systematically replacing specific words to enhance data diversity. The radius of the positive sample neighborhood is elastically adjusted to eliminate invalid samples and improve training efficiency. A neighborhood sample fusion strategy, based on sample distribution patterns, dynamically adjusts neighborhood size and fuses sample More >

Zhaohui An, Changyong Li^*, Yong Han, Mengru Niu

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1347-1366, 2025, DOI:10.32604/cmc.2025.059037 - 26 March 2025

Abstract This paper introduces an Improved Bidirectional Jump Point Search (I-BJPS) algorithm to address the challenges of the traditional Jump Point Search (JPS) in mobile robot path planning. These challenges include excessive node expansions, frequent path inflexion points, slower search times, and a high number of jump points in complex environments with large areas and dense obstacles. Firstly, we improve the heuristic functions in both forward and reverse directions to minimize expansion nodes and search time. We also introduce a node optimization strategy to reduce non-essential nodes so that the path length is optimized. Secondly, we… More >

Bernard Bayangbe^1,*, Ababacar Thiam^1,2, El hadji I. Cissé², Kory Faye¹

Energy Engineering, Vol.122, No.3, pp. 943-969, 2025, DOI:10.32604/ee.2025.060273 - 07 March 2025

Abstract Concentrating Solar Power (CSP) is one of the most promising solar technologies for sustainable power generation in countries with high solar potential, like Chad. Identifying suitable sites is of great importance for deploying solar power plants. This work focuses on the identification of potential sites for the installation of solar power plants in Chad as well as a comparative analysis using the Analytical Hierarchy Process (AHP), Fuzzy Analytical Hierarchy Process (FAHP), and Full Consistency Method (FUCOM). The results show that 35% of the Chadian territory, i.e., an area of 449,400 km², is compatible with the implementation… More >

Tao Chen¹, Zhengyu Du², Zihan Liu², Maoyu Xiao³, Zhe Zhang³, Lei Shi^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.2, pp. 405-426, 2025, DOI:10.32604/fdmp.2024.056396 - 06 March 2025

Abstract During the highly transient process of the direct-start in a four-cylinder GDI engine, each cylinder exhibits specific characteristics in terms of in-cylinder conditions and energy demands, necessitating different control for each cylinder. However, recent studies have paid insufficient attention to cylinders other than the first starting cylinder. This paper proposes a comprehensive control strategy based on experimental data from the direct-start process of the second, third, and fourth cylinders, aiming to enhance the characteristics of combustion and emission performance through the optimization of injection timing, equivalence ratio, and ignition timing. The research findings indicate that… More >

Antonio Romero-Moreno^1,2, Lorenzo Rodríguez-Riesco^1,2, Isaac Lavi¹, Serafín Cruces-Montes^1,2,*

International Journal of Mental Health Promotion, Vol.27, No.2, pp. 125-136, 2025, DOI:10.32604/ijmhp.2025.059526 - 03 March 2025

Abstract Background: Research on therapeutic processes has explored the elements that enhance psychotherapy’s effectiveness, particularly the role of common factors across various models. The therapist’s use of directiveness and support, as common variables, is crucial for effective treatment. Effective therapists adapt their level of directiveness and support according to the treatment phase, the issue being addressed, and the patient’s characteristics. This study examines the importance therapists attribute to directiveness and support, as well as its relationship with theoretical orientation, access to research publications, and stance on the similar effectiveness of different psychotherapeutic models. It aims to… More >

Jun Zhang^1,2,#,*, Junqiao Guo^3,#

International Journal of Mental Health Promotion, Vol.27, No.2, pp. 193-214, 2025, DOI:10.32604/ijmhp.2025.058022 - 03 March 2025

Abstract Background: The academic community is increasingly interested in understanding the mechanisms through which gratitude influences coping strategies. In addition, the role of gratitude in fostering long-term resilience and mental health outcomes has garnered significant attention. This study explores the mechanisms through which gratitude affects problem-focused coping strategies and emotion-focused coping strategies by constructing models involving gratitude, perceived social support, self-esteem, and problem-focused coping strategies, as well as models involving gratitude, perceived social support, self-esteem, and emotion-focused coping strategies. Methods: A longitudinal survey was conducted on 1666 Chinese university students using highly reliable and valid scales,… More >

Syed Zain Ul Abideen¹, Mian Muhammad Kamal^2,*, Eaman Alharbi³, Ashfaq Ahmad Malik⁴, Wadee Alhalabi⁵, Muhammad Shahid Anwar^6,*, Liaqat Ali⁷

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 2191-2210, 2025, DOI:10.32604/cmes.2025.061744 - 03 March 2025

Abstract The rapid evolution of wireless technologies and the advent of 6G networks present new challenges and opportunities for Internet of Things (IoT) applications, particularly in terms of ultra-reliable, secure, and energy-efficient communication. This study explores the integration of Reconfigurable Intelligent Surfaces (RIS) into IoT networks to enhance communication performance. Unlike traditional passive reflector-based approaches, RIS is leveraged as an active optimization tool to improve both backscatter and direct communication modes, addressing critical IoT challenges such as energy efficiency, limited communication range, and double-fading effects in backscatter communication. We propose a novel computational framework that combines… More >