Zhongyun Tang^1,2,3, Hanyi Xu², Haiyang Hu^1,3,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-29, 2026, DOI:10.32604/cmc.2025.070616 - 09 December 2025

Abstract With the deep integration of smart manufacturing and IoT technologies, higher demands are placed on the intelligence and real-time performance of industrial equipment fault detection. For industrial fans, base bolt loosening faults are difficult to identify through conventional spectrum analysis, and the extreme scarcity of fault data leads to limited training datasets, making traditional deep learning methods inaccurate in fault identification and incapable of detecting loosening severity. This paper employs Bayesian Learning by training on a small fault dataset collected from the actual operation of axial-flow fans in a factory to obtain posterior distribution. This More >

Vi Hoai Nam¹, Chu Thi Minh Hue², Dang Van Anh^1,*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-15, 2026, DOI:10.32604/cmc.2025.070605 - 10 November 2025

Abstract Unmanned Aerial Vehicles (UAVs) have become integral components in smart city infrastructures, supporting applications such as emergency response, surveillance, and data collection. However, the high mobility and dynamic topology of Flying Ad Hoc Networks (FANETs) present significant challenges for maintaining reliable, low-latency communication. Conventional geographic routing protocols often struggle in situations where link quality varies and mobility patterns are unpredictable. To overcome these limitations, this paper proposes an improved routing protocol based on reinforcement learning. This new approach integrates Q-learning with mechanisms that are both link-aware and mobility-aware. The proposed method optimizes the selection of… More >

Shun Maki^1,*, Satoshi Nakano¹, Taiki Haga², Takehiro Niitsu¹, Ikuya Ueta¹

Congenital Heart Disease, Vol.20, No.5, pp. 547-558, 2025, DOI:10.32604/chd.2025.072277 - 30 November 2025

Abstract Background: Considering the limited evidence for acute postoperative nutritional therapy for congenital heart disease (CHD), this study evaluated the effects of achieving enteral nutrition (EN) targets in the acute postoperative phase on clinical outcomes in infants after congenital heart surgery. Methods: This retrospective cohort study, conducted in a multivalent pediatric intensive care unit (PICU), enrolled infants aged ≤6 months following congenital heart surgery between April 2021 and March 2023. Based on the American Society for Parenteral and Enteral Nutrition guidelines, the EN target was defined as two-thirds of the resting energy expenditure with a protein intake… More >

Yu-Sheng Su^1,2,3,*, Yi-Wen Wang¹, Yun-Chin Wu³, Zheng-Yun Xiao¹, Ting-Jou Ding⁴

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1095-1111, 2025, DOI:10.32604/cmc.2025.067129 - 29 August 2025

Abstract In the context of global change, understanding changes in water resources requires close monitoring of groundwater levels. A mismatch between water supply and demand could lead to severe consequences such as land subsidence. To ensure a sustainable water supply and to minimize the environmental effects of land subsidence, groundwater must be effectively monitored and managed. Despite significant global progress in groundwater management, the swift advancements in technology and artificial intelligence (AI) have spurred extensive studies aimed at enhancing the accuracy of groundwater predictions. This study proposes an AI-based method that combines deep learning with a… More >

Guozhen Wang^1,2, Yong An^1,2,*

Congenital Heart Disease, Vol.20, No.3, pp. 347-355, 2025, DOI:10.32604/chd.2025.065354 - 11 July 2025

Abstract Background: Anomalous origin of the left coronary artery from the pulmonary artery (ALCAPA) is a rare congenital anomalous coronary artery origin disorder. Objective: We sought to summarize the clinical experience and prognostic characteristics of surgical treatment of ALCAPA. Methods: We retrospectively analyzed clinical information on patients who had ALCAPA and underwent surgery at our center from February 2016 to October 2023. Results: This comparative study of 23 ALCAPA patients (9 infants <1 year; 14 children >1 year) demonstrated significant age-dependent outcomes. Infant patients exhibited markedly prolonged mechanical ventilation (183 ± 105.6 vs. 48.5 ± 62.2 min, p =… More >

Yongsheng Wang^1,2, Xiangwu Lu¹, Wei Yuan^1,*, Lei Zhang¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.6, pp. 1505-1528, 2025, DOI:10.32604/fdmp.2025.061052 - 30 June 2025

Abstract This study explores the influence of rotor blade angle on stall inception in an axial fan by means of numerical simulations grounded in the Reynolds-Averaged Navier-Stokes (RANS) equations and the Realizable k-ε turbulence model. By analyzing the temporal behavior of the outlet static pressure, along with the propagation velocity of stall inception, the research identifies distinct patterns in the development of stall. The results reveal that stall inception originates in the second rotor impeller. At a blade angle of 27°, the stall inception follows a modal wave pattern, while in all other cases, it assumes the More >

Linlan Chang¹, Win-Jet Luo^1,2, Indra Permana², Bowo Yuli Prasetyo³, Alya Penta Agharid¹, Fujen Wang^2,*

Energy Engineering, Vol.122, No.5, pp. 1771-1787, 2025, DOI:10.32604/ee.2025.062209 - 25 April 2025

Abstract Heating, Ventilation, and Air Conditioning (HVAC) systems are critical for maintaining thermal comfort in office environments which also crucial for occupant well-being and productivity. This study investigates the impact of integrating ceiling fans with higher air conditioning setpoints on thermal comfort and energy efficiency in office environments. Field measurements and questionnaire surveys were conducted to evaluate thermal comfort and energy-saving potential under varying conditions. Results show that increasing the AC setpoint from 25°C to 27°C, combined with ceiling fan operation, reduced power consumption by 10%, achieving significant energy savings. Survey data confirmed that 85% of… More >

Xu Liu, Yanjun Sun, Xiafeng Yu, Yiwei Liu, Hao Zhang^*

Congenital Heart Disease, Vol.20, No.1, pp. 103-113, 2025, DOI:10.32604/chd.2025.063108 - 18 March 2025

Abstract Aorta–right atrial tunnel (ARAT) is an extremely rare congenital heart malformation with an average age of diagnosis of approximately 20 years. Its clinical symptoms are varied and often atypical. ARAT usually originates from the left or right sinus of Valsalva. In this case report, we aim to share a rare case of ARAT originating from the noncoronary sinus in an infant. The patient presented with a cardiac murmur, a dilated right heart, and a tortuous tunnel originating from the dilated noncoronary sinus and terminating at the right atrium in echocardiogram and computed tomography angiography. The More >

Poria Moradi¹, Zahra Naghibifar^2,3, Armin Naghipour^1,*

Congenital Heart Disease, Vol.20, No.1, pp. 77-87, 2025, DOI:10.32604/chd.2025.061784 - 18 March 2025

Abstract Introduction: The occurrence of congenital anomalies is one of the serious challenges in the world. Therefore, identifying related factors to reduce it is of particular importance. This study aimed to determine the incidence and factors related to congenital anomalies. Methods: An epidemiology study was conducted on 1567 infants and their parents in Kermanshah, Iran. The required information was extracted from the files of mothers in health centers. The data collection tool was a researcher-made checklist of 39 questions. The data was statistically analyzed with the STATA version 14 software. Result: The incidence of congenital anomalies was 2.9%… More >

Priyanka¹, Manjit Kaur¹, Deepak Prashar¹, Leo Mrsic², Arfat Ahmad Khan^3,*

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 1615-1643, 2025, DOI:10.32604/cmc.2025.059043 - 17 February 2025

Abstract “Flying Ad Hoc Networks (FANETs)”, which use “Unmanned Aerial Vehicles (UAVs)”, are developing as a critical mechanism for numerous applications, such as military operations and civilian services. The dynamic nature of FANETs, with high mobility, quick node migration, and frequent topology changes, presents substantial hurdles for routing protocol development. Over the preceding few years, researchers have found that machine learning gives productive solutions in routing while preserving the nature of FANET, which is topology change and high mobility. This paper reviews current research on routing protocols and Machine Learning (ML) approaches applied to FANETs, emphasizing developments… More >