Li Wang^1,*, Xiaoyong Wang²

Energy Engineering, Vol.121, No.12, pp. 3953-3979, 2024, DOI:10.32604/ee.2024.056705 - 22 November 2024

Abstract Plug-in Hybrid Electric Vehicles (PHEVs) represent an innovative breed of transportation, harnessing diverse power sources for enhanced performance. Energy management strategies (EMSs) that coordinate and control different energy sources is a critical component of PHEV control technology, directly impacting overall vehicle performance. This study proposes an improved deep reinforcement learning (DRL)-based EMS that optimizes real-time energy allocation and coordinates the operation of multiple power sources. Conventional DRL algorithms struggle to effectively explore all possible state-action combinations within high-dimensional state and action spaces. They often fail to strike an optimal balance between exploration and exploitation, and… More >

Inna Bilous¹, Dmytro Biriukov¹, Dmytro Karpenko², Tatiana Eutukhova², Oleksandr Novoseltsev^2,*, Volodymyr Voloshchuk¹

Energy Engineering, Vol.121, No.12, pp. 3617-3634, 2024, DOI:10.32604/ee.2024.051684 - 22 November 2024

Abstract This article focuses on the challenges of modeling energy supply systems for buildings, encompassing both methods and tools for simulating thermal regimes and engineering systems within buildings. Enhancing the comfort of living or working in buildings often necessitates increased consumption of energy and material, such as for thermal upgrades, which consequently incurs additional economic costs. It is crucial to acknowledge that such improvements do not always lead to a decrease in total pollutant emissions, considering emissions across all stages of production and usage of energy and materials aimed at boosting energy efficiency and comfort in… More > Graphic Abstract

Sagiraju Srinadhraju^*, Samaresh Mishra, Suresh Chandra Satapathy

Computer Systems Science and Engineering, Vol.48, No.6, pp. 1641-1668, 2024, DOI:10.32604/csse.2024.055612 - 22 November 2024

Abstract This paper introduces the integration of the Social Group Optimization (SGO) algorithm to enhance the accuracy of software cost estimation using the Constructive Cost Model (COCOMO). COCOMO’s fixed coefficients often limit its adaptability, as they don’t account for variations across organizations. By fine-tuning these parameters with SGO, we aim to improve estimation accuracy. We train and validate our SGO-enhanced model using historical project data, evaluating its performance with metrics like the mean magnitude of relative error (MMRE) and Manhattan distance (MD). Experimental results show that SGO optimization significantly improves the predictive accuracy of software cost More >

Muhammad Muntasir Yakubu^1,2,*, Mohd Fadzil B Hassan^1,3, Kamaluddeen Usman Danyaro¹, Aisha Zahid Junejo⁴, Muhammed Siraj⁵, Saidu Yahaya¹, Shamsuddeen Adamu¹, Kamal Abdulsalam⁶

Computer Systems Science and Engineering, Vol.48, No.6, pp. 1437-1481, 2024, DOI:10.32604/csse.2024.054556 - 22 November 2024

Abstract This study conducts a systematic literature review (SLR) of blockchain consensus mechanisms, an essential protocols that maintain the integrity, reliability, and decentralization of distributed ledger networks. The aim is to comprehensively investigate prominent mechanisms’ security features and vulnerabilities, emphasizing their security considerations, applications, challenges, and future directions. The existing literature offers valuable insights into various consensus mechanisms’ strengths, limitations, and security vulnerabilities and their real-world applications. However, there remains a gap in synthesizing and analyzing this knowledge systematically. Addressing this gap would facilitate a structured approach to understanding consensus mechanisms’ security and vulnerabilities comprehensively. The… More >

Samsul Huda^1,*, Yasuyuki Nogami², Maya Rahayu², Takuma Akada², Md. Biplob Hossain², Muhammad Bisri Musthafa², Yang Jie², Le Hoang Anh²

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3165-3187, 2024, DOI:10.32604/cmc.2024.058144 - 18 November 2024

Abstract Global food security is a pressing issue that affects the stability and well-being of communities worldwide. While existing Internet of Things (IoT) enabled plant monitoring systems have made significant strides in agricultural monitoring, they often face limitations such as high power consumption, restricted mobility, complex deployment requirements, and inadequate security measures for data access. This paper introduces an enhanced IoT application for agricultural monitoring systems that address these critical shortcomings. Our system strategically combines power efficiency, portability, and secure access capabilities, assisting farmers in monitoring and tracking crop environmental conditions. The proposed system includes a… More >

Catalina Vargas-Acevedo¹, Gareth J. Morgan¹, Rhynn Soderstrom², Richard Ing³, Nicholas Houska³, Jenny E. Zablah^1,*

Congenital Heart Disease, Vol.19, No.4, pp. 389-397, 2024, DOI:10.32604/chd.2024.055121 - 31 October 2024

Abstract Introduction: Pulmonary hemorrhage (PHm) is a life-threatening complication that can occur after catheter-based interventions in patients with pulmonary vein stenosis (PVS). Inhaled racemic epinephrine (iRE) and tranexamic acid (iTXA) have been used in other conditions, but a standardized approach in PVS has not been described. We aimed to describe the current management of PHm after PVS catheter-based interventions. Methods: We present a retrospective review of episodes of PHm from July 2022 to February 2024. PHm was defined as frank blood suctioned from the endotracheal tube including blood-tinged secretions and >3% decrease in saturations and/or ventilatory… More >

Laura Schianchi^1,*, Fabrizio Vaira², Massimo Chessa^1,3, Serena Francesca Flocco⁴, Arianna Magon⁴, Gianluca Conte⁴, Karina Geraldina Zuniga Olaya⁵, Giacomo Bortolussi⁶, Erika Cioffi¹, Matteo Riccardo Di Nicola², Santo Raffaele Mercuri², Rosario Caruso^4,7

Congenital Heart Disease, Vol.19, No.4, pp. 363-374, 2024, DOI:10.32604/chd.2024.053999 - 31 October 2024

Abstract Background: Hypertrophic scars and keloids, common complications following median sternotomy for cardiac surgery, significantly impact patient quality of life due to their aesthetic and symptomatic burden. Recent advancements in laser therapy have made it a prominent option for managing these complex scars, yet a comprehensive understanding of its efficacy is lacking. The aim of this scoping review is to explore the effects of laser therapy in managing hypertrophic scars and keloids after median sternotomy. Methods: This scoping review analyzed studies up to February 2024 from databases including PubMed, EMBASE, CINAHL, Scopus, Web of Science, and… More >

Zhaoan Wang¹, Kishlay Jha², Shaoping Xiao^1,*

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1319-1336, 2024, DOI:10.32604/cmc.2024.055809 - 15 October 2024

Abstract Climate change poses significant challenges to agricultural management, particularly in adapting to extreme weather conditions that impact agricultural production. Existing works with traditional Reinforcement Learning (RL) methods often falter under such extreme conditions. To address this challenge, our study introduces a novel approach by integrating Continual Learning (CL) with RL to form Continual Reinforcement Learning (CRL), enhancing the adaptability of agricultural management strategies. Leveraging the Gym-DSSAT simulation environment, our research enables RL agents to learn optimal fertilization strategies based on variable weather conditions. By incorporating CL algorithms, such as Elastic Weight Consolidation (EWC), with established… More >

Yihan Liao¹, Jingfa Li^2,*, Yi Wang^1,*, Bo Yu²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.011032

Abstract Metal Hydride (MH) is a promising hydrogen storage technique owing to its safety, availability, and high volumetric storage density. MH hydrogen storage reactor is the core component of MH hydrogen storage technology. However, the thermal effect of MH hydrogen storage reactor in the process of hydrogenation/dehydrogenation is significant, which requires an efficient heat management system for the reactor. Phase change materials (PCM) can be applied to MH hydrogen storage reactor, and have the advantages of simple structure. In this paper, representative PCM thermal management methods were summarized, and the distribution structure of the existing multi-layer… More >

Mario Eugenio Sello^1,*, Rafael Adrian Maddio¹, Santiago Ignacio Hurtado¹, Daniel Alejandro Castillo¹, Daiana Vanesa Perri¹, Octavio Agusto Bruzzone², Marcos Horacio Easdale¹

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2479-2498, 2024, DOI:10.32604/phyton.2024.053168 - 30 September 2024

Abstract Adaptive management in arid and semi-arid regions of Patagonia, Argentina, requires a thorough understanding of vegetative dynamics, which can be obtained via rangeland assessment and monitoring. These practices are essential for decision-making to prevent environmental degradation, especially in the light of drought aggravated by climate change. In turn, most methods used to evaluate rangelands focus on data obtained from field measurements and vegetation classifications based on remote sensing data. One of the most frequent problems is that field-based rangeland assessments, based on field measurements, turn out to be expensive because they require high efforts in… More >