Oncology Research, Vol.32, No.11, pp. 1817-1817, 2024, DOI:10.32604/or.2024.056892 - 16 October 2024

Abstract This article has no abstract. More >

Hoi Chuen Cheng, Frederick Ziyang Hong, Babar Hussain, Yiru Wang, Chik Patrick Yue^*

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 161-181, 2024, DOI:10.32604/cmc.2024.053079 - 15 October 2024

Abstract Large-scale indoor 3D reconstruction with multiple robots faces challenges in core enabling technologies. This work contributes to a framework addressing localization, coordination, and vision processing for multi-agent reconstruction. A system architecture fusing visible light positioning, multi-agent path finding via reinforcement learning, and 360° camera techniques for 3D reconstruction is proposed. Our visible light positioning algorithm leverages existing lighting for centimeter-level localization without additional infrastructure. Meanwhile, a decentralized reinforcement learning approach is developed to solve the multi-agent path finding problem, with communications among agents optimized. Our 3D reconstruction pipeline utilizes equirectangular projection from 360° cameras to More >

Xianghua Liu¹, Hai Song¹, Lu Zhao¹, Yan Zheng¹, Neng Yang², Dongling Qiu^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.10, pp. 2377-2392, 2024, DOI:10.32604/fdmp.2024.051418 - 23 September 2024

Abstract The segmented water control technology for bottom water reservoirs can effectively delay the entry of bottom water and adjust the production profile. To clarify the impact of different methods on horizontal well production with different reservoir conditions and to provide theoretical support for the scientific selection of methods for bottom water reservoirs, a numerical simulation method is presented in this study, which is able to deal with wellbore reservoir coupling under screen tube, perforation, and ICD (Inflow Control Device) completion. Assuming the geological characteristics of the bottom-water conglomerate reservoir in the Triassic Formation of the… More >

Catalda Corvasce¹, Juan Pedro Martínez-Ramón^2,*, Francisco Manuel Morales-Rodríguez³, Lidia Pellicer-García⁴, Inmaculada Méndez², Cecilia Ruiz-Esteban²

International Journal of Mental Health Promotion, Vol.26, No.9, pp. 709-718, 2024, DOI:10.32604/ijmhp.2024.053599 - 20 September 2024

Abstract Background: Emotional attention refers to the capacity to recognize and properly respond to one’s and others’ emotional states. On another note, family is a primary source of socialization that influences the development of various social skills. In another line, adolescence is a complex stage that has been associated with emotional difficulties that could be related to competences such as prosociability and inclusion. It is inferred that through the family context and the attention that is processed, a series of competencies are transmitted to the youngsters, but this relationship is still unclear. For this reason, the… More >

Zhiyu Zhang¹, Zhuoran Li²

Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, Vol.40, No.2, pp. 1-10, 2024, DOI:10.23967/j.rimni.2024.05.010 - 04 June 2024

Abstract This research aims to explore the method of combining digital twins (DTs) with Convolutional Neural Network (CNN) algorithms to analyze the attraction of museum historical and cultural exhibits to achieve intelligent and digital development of museum exhibitions. Firstly, the DTs technology is used to digitally model the museum's historical and cultural exhibits, realizing virtual exhibit display and interaction. Then, the Mini_Xception network is proposed to improve the CNN algorithm, which is combined with the ResNet algorithm to construct a human facial emotion recognition model. Finally, the proposed model is used to accurately predict the attraction More >

SHUBHRA CHANDRA^1,2, JENNIFER C. WILSON^1,2, DAVID GOOD³, MING Q. WEI^1,2,*

Oncology Research, Vol.32, No.10, pp. 1543-1564, 2024, DOI:10.32604/or.2024.043987 - 18 September 2024

Abstract The advent of RNA therapy, particularly through the development of mRNA cancer vaccines, has ushered in a new era in the field of oncology. This article provides a concise overview of the key principles, recent advancements, and potential implications of mRNA cancer vaccines as a groundbreaking modality in cancer treatment. mRNA cancer vaccines represent a revolutionary approach to combatting cancer by leveraging the body’s innate immune system. These vaccines are designed to deliver specific mRNA sequences encoding cancer-associated antigens, prompting the immune system to recognize and mount a targeted response against malignant cells. This personalized… More > Graphic Abstract

Irum Ilays¹, Yaser Hafeez^1,*, Nabil Almashfi², Sadia Ali¹, Mamoona Humayun^3,*, Muhammad Aqib¹, Ghadah Alwakid⁴

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 3761-3784, 2024, DOI:10.32604/cmc.2024.053830 - 12 September 2024

Abstract Software testing is a critical phase due to misconceptions about ambiguities in the requirements during specification, which affect the testing process. Therefore, it is difficult to identify all faults in software. As requirement changes continuously, it increases the irrelevancy and redundancy during testing. Due to these challenges; fault detection capability decreases and there arises a need to improve the testing process, which is based on changes in requirements specification. In this research, we have developed a model to resolve testing challenges through requirement prioritization and prediction in an agile-based environment. The research objective is to… More >

Qiang Liu¹, Rujun Wang¹, Yintao Zhang¹, Chong Sun¹, Meichun Yang¹, Yuliang Su^2,*, Wendong Wang², Ying Shi², Zheng Chen²

Energy Engineering, Vol.121, No.10, pp. 2797-2823, 2024, DOI:10.32604/ee.2024.052007 - 11 September 2024

Abstract Deep condensate gas reservoirs exhibit highly complex and variable phase behaviors, making it crucial to understand the relationship between fluid phase states and flow patterns. This study conducts a comprehensive analysis of the actual production process of the deep condensate gas well A1 in a certain oilfield in China. Combining phase behavior analysis and CMG software simulations, the study systematically investigates phase transitions, viscosity, and density changes in the gas and liquid phases under different pressure conditions, with a reservoir temperature of 165°C. The research covers three crucial depletion stages of the reservoir: single-phase flow,… More >

S. Vidivelli^*, Manikandan Ramachandran^*, A. Dharunbalaji

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2423-2442, 2024, DOI:10.32604/cmc.2024.054360 - 15 August 2024

Abstract This exploration acquaints a momentous methodology with custom chatbot improvement that focuses on proficiency close by viability. We accomplish this by joining three key innovations: LangChain, Retrieval Augmented Generation (RAG), and enormous language models (LLMs) tweaked with execution proficient strategies like LoRA and QLoRA. LangChain takes into consideration fastidious fitting of chatbots to explicit purposes, guaranteeing engaged and important collaborations with clients. RAG’s web scratching capacities engage these chatbots to get to a tremendous store of data, empowering them to give exhaustive and enlightening reactions to requests. This recovered data is then decisively woven into… More >

Md. Mahbubur Rahman Tusher¹, Fahmid Al Farid^2,*, Md. Al-Hasan¹, Abu Saleh Musa Miah¹, Susmita Roy Rinky¹, Mehedi Hasan Jim¹, Sarina Mansor², Md. Abdur Rahim³, Hezerul Abdul Karim^2,*

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2633-2656, 2024, DOI:10.32604/cmc.2024.049296 - 15 August 2024

Abstract The context of recognizing handwritten city names, this research addresses the challenges posed by the manual inscription of Bangladeshi city names in the Bangla script. In today’s technology-driven era, where precise tools for reading handwritten text are essential, this study focuses on leveraging deep learning to understand the intricacies of Bangla handwriting. The existing dearth of dedicated datasets has impeded the progress of Bangla handwritten city name recognition systems, particularly in critical areas such as postal automation and document processing. Notably, no prior research has specifically targeted the unique needs of Bangla handwritten city name… More >