Salahuddin¹, Khalid Haseeb^1,*, Mansoor Nasir¹, NZ Jhanjhi², Mamoona Humayun³

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.079584 - 08 May 2026

Abstract Intelligent Transportation System (ITS) interconnects smart technologies for the advancement in communication and autonomous decision making in vehicle interactions. It manages traffic control infrastructure, analyses road conditions, and supports cooperative awareness in a crucial environment. The sensors continuously collect real-time vehicle data, process it, and forward it to analysis servers to predict the behavior of Vehicular Ad hoc Networks (VANETs). Many approaches have been proposed to address research challenges in routing and improve communication for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) systems. However, due to dynamic topology, the network becomes disturbed and loses established connections, leading… More >

Bing-Zhou Chen^1,2, Hai-Ying Zheng^1,2, Ao-Wen Wang^1,3, Ke-Lei Xia^1,2, Li-Feng Fan^1,3, Zhong-Yi Wang^1,3, Lan Huang^1,2,*

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.078894 - 08 May 2026

Abstract Many sensing and imaging modalities naturally yield complex-valued signals, where magnitude and phase jointly convey information. Complex-valued neural networks (CVNNs) possess unique advantages in processing phase-sensitive data (e.g., synthetic aperture radar (SAR) and magnetic resonance imaging (MRI)), yet their widespread adoption is hindered by significant computational overhead and training instability. To address these challenges, this paper presents the Wirtinger Derivative Complete Complex Network (WCCN), a unified and efficient framework for complex-valued deep learning. The proposed framework systematically addresses three key challenges in CVNNs: computational efficiency, parameter redundancy, and training stability. WCCN integrates three core components.… More >

Hafiz Arslan Ramzan^1,*, Kamrul Islam², Md Ahbab Hussain³, Raiyan Muntasir Monim⁴, Sabit Md Asad⁴, Sadia Ramzan⁵

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.077782 - 08 May 2026

Abstract Regression testing of large-scale, data-intensive software systems demands efficient test-case prioritization strategies to detect faults early while minimizing computational cost. Conventional prioritization methods, such as coverage-based and risk-based approaches, lack adaptability to evolving project dynamics and fail to leverage the rich test-execution data accumulated over continuous integration cycles. This study presents a Data-Driven Test-Case Prioritization (DD-TCP) Framework that incorporates statistical and machine-learning techniques to model the relationship between test-case features and historical fault detection outcomes. The framework extracts multidimensional attributes including code-change frequency, dependency metrics, execution duration, and past failure density, which are normalized and… More >

Ahmed Ghazy^*

Frontiers in Heat and Mass Transfer, Vol.24, No.2, 2026, DOI:10.32604/fhmt.2025.076192 - 30 April 2026

Abstract In this study, the covers of the conventional double slope solar distiller (CDSSD) were replaced with a glass air heater and a glass air-cooled condenser. Ambient air was circulated through the air heater and air-cooled condenser to recover unavoidable heat losses in air heating as an auxiliary product. The thermal performance of the double slope solar distiller integrated with an air heater and an air-cooled condenser (DSSD-AH-ACC) was mathematically evaluated under real weather conditions and varying air flows. The results showed that increasing air flow through the air heater and air-cooled condenser improved the efficiency More >

Gürcan Durmaz^1,*, Gökhan Gürlek²

Frontiers in Heat and Mass Transfer, Vol.24, No.2, 2026, DOI:10.32604/fhmt.2026.075332 - 30 April 2026

Abstract This study examines the evolution of condenser technologies in household refrigerators, focusing on the potential for improving energy efficiency with hot-wall condensers (HWCs). Factors influencing this development, including refrigerant changes, consumer expectations, global regulations, and environmental factors, are evaluated. Design features, advantages, disadvantages, limitations, and comparisons with other condenser types are presented for HWCs. The review identifies key parameters affecting HWC performance: pipe diameter and pitch, outer surface material properties, adhesive tape properties, and contact resistances. The effects of environmental factors such as ambient temperatures and heat transfer coefficients are also considered. The results indicate… More > Graphic Abstract

Jun Qi^1,*, Chao Yang², Xinliu Wang², Junyou Yang¹, Haixin Wang¹, Huaqin Chen^2,3, Zhenyan Li³

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.076511 - 09 April 2026

Abstract With the diversification of electricity trading forms driven by distributed energy technologies, the continuous growth of blockchain’s chained data structure poses dual challenges to traditional B+ tree indexes in terms of query efficiency and storage costs. This paper proposes a sliding window-based learned index construction method (SW-LI). The method consists of two key components. First, block timestamp–height samples are selected using a sliding window and used to train a linear regression model that captures the timestamp-to-height mapping. Second, an adaptive window adjustment mechanism is introduced: when the prediction error within a window exceeds a threshold,… More >

Abdulaziz A. Alsulami^1,*, Badraddin Alturki², Ahmad J. Tayeb², Rayan A. Alsemmeari², Raed Alsini¹

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.076413 - 09 April 2026

Abstract Intrusion Detection Systems (IDS) play a critical role in protecting networked environments from cyberattacks. They have become increasingly important in smart environments such as the Internet of Things (IoT) systems. However, IDS for IoT networks face critical challenges due to hardware constraints, including limited computational resources and storage capacity, which lead to high feature dimensionality, prediction uncertainty, and increased processing cost. These factors make many conventional detection approaches unsuitable for real-time IoT deployment. To address these challenges, this paper proposes an adaptive intrusion detection framework that intelligently balances detection accuracy and computational efficiency. The proposed… More >

Soheib Dakhelullah Alsahafi^*

Chalcogenide Letters, Vol.23, No.3, 2026, DOI:10.32604/cl.2026.077336 - 03 April 2026

Abstract In this study, a novel double-heterojunction perovskite solar cell (DHPSC) with the following structure: FTO/ZnO/CH₃NH₃PbI_3−xCl_x/CH₃NH₃SnI₃/p⁺⁺ZnTe/Au was designed. It was optimized using the wxAMPS simulation software. A systematic parametric analysis was performed to investigate the influence of electron transport layer (ETL) ZnO and hole transport layer (HTL) thicknesses on photovoltaic performance. That includes short-circuit current density (J_sc), open-circuit voltage (V_oc), fill factor (FF), and power conversion efficiency (η). The results indicate that once a minimum ZnO thickness is achieved, further increases have a negligible effect on performance. Whereas variations in ZnTe thickness markedly influence V_oc and η. The optimal configuration More >

Leonid Plotnikov^1,*, Leonid Osipov¹, Danil Davydov¹, Dmitry Krasilnikov¹, Alexander Ryzhkov²

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2026.076278 - 27 March 2026

Abstract The use of alternative fuels to generate mechanical and thermal energy in engines is a promising and sought-after technological area with its own unique advantages and characteristics. Consequently, enhancing the technical, economic, and environmental efficiency of gas engines fueled by propane-butane mixture and syngas through optimized operating cycle parameters (including valve timing, ignition timing angle, fuel mixture composition, and compression ratio) is a pressing imperative for scientific and energy sectors. The aim of the study was to investigate and compare the performance of an engine with different compression ratios running on a propane-butane mixture and… More >

Aws F. Hassan^*, Jamal A.-K. Mohammed, Walaa M. Hashim

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2026.075837 - 27 March 2026

Abstract The current study aims to improve the performance of the electrohydraulic servo system (EHSS) by increasing the volumetric efficiency of the pump and reducing electrical power consumption to a minimum value. An experimental setup has been designed and built to control the cylinder position using a programmable logic controller to provide the appropriate motor speed from the AC drive to control the velocity of the hydraulic actuator; the induction motor is driven by an AC drive using a tune proportional-integral-variable frequency drive (TPI-VFD) space vector modulation (SVM) hybrid technology. Theoretically, it was analyzed and simulated… More > Graphic Abstract