Muhammad Farman^1,2,3,*, Noreen Asghar⁴, Muhammad Umer Saleem⁴, Kottakkaran Sooppy Nisar^5,6, Kamyar Hosseini^1,2,7, Mohamed Hafez^8,9

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 721-751, 2025, DOI:10.32604/cmes.2025.069541 - 30 October 2025

Abstract Smoking is harmful to the lungs and has numerous effects on our bodies. This leads to decreased lung function, which increases the lungs’ susceptibility to asthma triggers. In this paper, we develop a new fractional-order model and investigate the impact of smoking on the progression of asthma by using the Caputo operator to analyze different factors. Using the Banach contraction principle, the existence and uniqueness of solutions are established, and the positivity and boundedness of the model are proved. The model further incorporates different stages of smoking to account for incubation periods and other latent… More >

Mohamed Gamal^1,#, Hamdy Ashour^1,#, Omar Huzayyin², Maran Marimuthu³, Ghulam E Mustafa Abro^4,*, Lina Mohamed¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.8, pp. 2027-2046, 2025, DOI:10.32604/fdmp.2025.067678 - 12 September 2025

Abstract Atrium spaces, common in modern construction, provide significant fire safety challenges due to their large vertical openings, which facilitate rapid smoke spread and reduce sprinkler effectiveness. Traditional smoke management systems primarily rely on make-up air to replace the air expelled through vents. Inadequate calibration, particularly with air velocity, can worsen fire conditions by enhancing oxygen supply, increasing soot production, and reducing visibility, so endangering safe evacuation. This study investigates the impact of make-up air velocity on smoke behaviour in atrium environments through 24 simulations performed using the Fire Dynamics Simulator (FDS). Scenarios include various fire… More >

Gang He¹, Zhuoyan Chen¹, Mufeng Wang², Xingcheng Yang³, Zhenyong Zhang^1,*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 729-750, 2025, DOI:10.32604/cmc.2025.066748 - 29 August 2025

Abstract In rapid urban development, outdoor parking lots have become essential components of urban transportation systems. However, the increasing number of parking lots is accompanied by a rising risk of vehicle fires, posing a serious challenge to public safety. As a result, there is a critical need for fire warning systems tailored to outdoor parking lots. Traditional smoke detection methods, however, struggle with the complex outdoor environment, where smoke characteristics often blend into the background, resulting in low detection efficiency and accuracy. To address these issues, this paper introduces a novel model named Dynamic Contextual Transformer… More >

Christine Dewi^1,2, Melati Viaeritas Vitrieco Santoso¹, Hanna Prillysca Chernovita³, Evangs Mailoa¹, Stephen Abednego Philemon¹, Abbott Po Shun Chen^4,*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5361-5379, 2025, DOI:10.32604/cmc.2025.067381 - 30 July 2025

Abstract Early detection of Forest and Land Fires (FLF) is essential to prevent the rapid spread of fire as well as minimize environmental damage. However, accurate detection under real-world conditions, such as low light, haze, and complex backgrounds, remains a challenge for computer vision systems. This study evaluates the impact of three image enhancement techniques—Histogram Equalization (HE), Contrast Limited Adaptive Histogram Equalization (CLAHE), and a hybrid method called DBST-LCM CLAHE—on the performance of the YOLOv11 object detection model in identifying fires and smoke. The D-Fire dataset, consisting of 21,527 annotated images captured under diverse environmental scenarios… More >

Chongyang Wang¹, Qiongyan Li¹, Shu Liu², Pengle Cheng^1,*, Ying Huang³

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5157-5176, 2025, DOI:10.32604/cmc.2025.067367 - 30 July 2025

Abstract With rapid urbanization, fires pose significant challenges in urban governance. Traditional fire detection methods often struggle to detect smoke in complex urban scenes due to environmental interferences and variations in viewing angles. This study proposes a novel multimodal smoke detection method that fuses infrared and visible imagery using a transformer-based deep learning model. By capturing both thermal and visual cues, our approach significantly enhances the accuracy and robustness of smoke detection in business parks scenes. We first established a dual-view dataset comprising infrared and visible light videos, implemented an innovative image feature fusion strategy, and More >

Van-Ha Hoang¹, Jong Weon Lee¹, Chun-Su Park^2,*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4097-4116, 2025, DOI:10.32604/cmc.2025.063468 - 19 May 2025

Abstract Fire can cause significant damage to the environment, economy, and human lives. If fire can be detected early, the damage can be minimized. Advances in technology, particularly in computer vision powered by deep learning, have enabled automated fire detection in images and videos. Several deep learning models have been developed for object detection, including applications in fire and smoke detection. This study focuses on optimizing the training hyperparameters of YOLOv8 and YOLOv10 models using Bayesian Tuning (BT). Experimental results on the large-scale D-Fire dataset demonstrate that this approach enhances detection performance. Specifically, the proposed approach… More >

Hayder A. Dhahad¹, Miqdam T. Chaichan^2,*, Mohammed A. Fayad², Hasanain A. Abdul Wahhab³, T. Magrites⁴

Energy Engineering, Vol.122, No.4, pp. 1249-1264, 2025, DOI:10.32604/ee.2025.061617 - 31 March 2025

Abstract One of the most important of these emissions is fine particulate matter, which is a harmful emission of diesel engines, leading to the imposition of strict regulations. Biodiesel, with its high oxygen content, is an effective alternative to significantly reduce these emissions. In this study, rapeseed methyl ester (RME) was used as a diesel engine fuel and the emitted particulate matter was compared with ultra-low sulfur diesel (ULSD). In most experimental studies, the emission of soot was measured. In this work, the effects of injection timing, injection pressure (IP), and engine load on fine particulate… More > Graphic Abstract

Mariam Ishtiaq^1,2, Jong-Un Won^1,2,*

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 5343-5361, 2025, DOI:10.32604/cmc.2025.061466 - 06 March 2025

Abstract Fire detection has held stringent importance in computer vision for over half a century. The development of early fire detection strategies is pivotal to the realization of safe and smart cities, inhabitable in the future. However, the development of optimal fire and smoke detection models is hindered by limitations like publicly available datasets, lack of diversity, and class imbalance. In this work, we explore the possible ways forward to overcome these challenges posed by available datasets. We study the impact of a class-balanced dataset to improve the fire detection capability of state-of-the-art (SOTA) vision-based models and propose… More >

Mohammed A. Fayad^1,*, Amera A. Radhi¹, Marwa K. Abood², Hind A. AL Salihi¹, Miqdam T. Chaichan¹

Energy Engineering, Vol.122, No.3, pp. 929-941, 2025, DOI:10.32604/ee.2025.061612 - 07 March 2025

Abstract Oxygenated fuels can reduce harmful emissions without affecting engine performance, meeting the big challenge in the transportation industry, which keeps the environment safe and reduces global warming. This study investigates the impact of biodiesel injection strategies and fuel injection pressures (FIP) on diesel engine exhaust emission characteristics. The engine is fuelled with 20% Jatropha biodiesel (JB) and 80% diesel, named JB20D. The ratios of fuel injection pressures started with injecting the fuel (diesel and JB20D) from 200 bar to 500 bar. The experimental outcomes indicate that the engine performance of brake-specific fuel consumption increased by More > Graphic Abstract

Zhisheng Xu¹, Juan Wang¹, Zihan Yu¹, Jiaming Zhao^2,*

Frontiers in Heat and Mass Transfer, Vol.22, No.4, pp. 1129-1151, 2024, DOI:10.32604/fhmt.2024.053695 - 30 August 2024

Abstract Called island-crossing tunnels, some specific underwater tunneling projects face constraints imposed by geological and water conditions, necessitating their passage through artificial or natural islands. The longitudinal of the tunnel follows a W-shaped distribution. The congestion situation does not allow for immediate longitudinal smoke exhaust at the early stage of the fire, and the natural spread of smoke is complicated. An exhaustive investigation was carried out to analyze the smoke behaviors during a fire incident, employing the fire dynamics software FDS, considering five slopes and four fire locations. The simulation results reveal that the layer of… More >