Mukesh Kumar Verma^1,2,*, Manohar Yadav¹

Revue Internationale de Géomatique, Vol.34, pp. 855-879, 2025, DOI:10.32604/rig.2025.069914 - 17 November 2025

Abstract Precision Agriculture (PA) is revolutionizing modern farming by leveraging remote sensing (RS) technologies for continuous, non-destructive crop monitoring. This review comprehensively explores RS systems categorized by platform—terrestrial, airborne, and space-borne—and evaluates the role of multi-sensor fusion in addressing the spatial and temporal complexity of agricultural environments. Emphasis is placed on data from LiDAR, GNSS, cameras, and radar, alongside derived metrics such as plant height, projected leaf area, and biomass. The study also highlights the significance of data processing methods, particularly machine learning (ML) and deep learning (DL), in extracting actionable insights from large datasets. By More >

Gebrail Bekdaş¹, Yaren Aydın¹, Celal Cakiroglu², Umit Işıkdağ^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1763-1787, 2025, DOI:10.32604/cmes.2025.063909 - 30 May 2025

Abstract Retaining walls are utilized to support the earth and prevent the soil from spreading with natural slope angles where there are differences in the elevation of ground surfaces. As the need for retaining structures increases, the use of retaining walls is increasing. The retaining walls, which increase the stability of levels, are economical and meet existing adverse conditions. A considerable amount of retaining walls is made from steel-reinforced concrete. The construction of reinforced concrete retaining walls can be costly due to its components. For this reason, the optimum cost should be targeted in the design… More >

Braden Rolig¹, James A. Brown²

Canadian Journal of Urology, Vol.31, No.5, pp. 12019-12021, 2024

Abstract The Hem-o-lok Weck clip is part of a polymer locking ligation system often employed for hemostasis in surgical practices. Its use is routine in a wide array of surgical subspecialties. Surgeons have limited options in removing these clips when they are aberrantly positioned.
Herein, we describe a novel, cost-effective approach for removing a Hem-o-lok clip using standard robotic instruments. This simple approach will allow surgeons to remove a Hem-o-lok clip precisely and quickly if it is not adequately placed.
During a routine robotic-assisted laparoscopic prostatectomy a Hem-o-lok Weck clip was noted to be in juxtaposition to… More >

Alya Penta Agharid¹, Indra Permana², Nitesh Singh¹, Fujen Wang^2,*, Susan Gustiyana²

Energy Engineering, Vol.121, No.12, pp. 3549-3571, 2024, DOI:10.32604/ee.2024.056398 - 22 November 2024

Abstract Hotel buildings are currently among the largest energy consumers in the world. Heating, ventilation, and air conditioning are the most energy-intensive building systems, accounting for more than half of total energy consumption. An energy audit is used to predict the weak points of a building’s energy use system. Various factors influence building energy consumption, which can be modified to achieve more energy-efficient strategies. In this study, an existing hotel building in Central Taiwan is evaluated by simulating several scenarios using energy modeling over a year. Energy modeling is conducted by using Autodesk Revit 2025. It… More >

Naeem Raza¹, Muhammad Asif Habib¹, Mudassar Ahmad¹, Qaisar Abbas^2,*, Mutlaq B. Aldajani², Muhammad Ahsan Latif³

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 911-931, 2024, DOI:10.32604/cmc.2024.055049 - 15 October 2024

Abstract Vision-based vehicle detection in adverse weather conditions such as fog, haze, and mist is a challenging research area in the fields of autonomous vehicles, collision avoidance, and Internet of Things (IoT)-enabled edge/fog computing traffic surveillance and monitoring systems. Efficient and cost-effective vehicle detection at high accuracy and speed in foggy weather is essential to avoiding road traffic collisions in real-time. To evaluate vision-based vehicle detection performance in foggy weather conditions, state-of-the-art Vehicle Detection in Adverse Weather Nature (DAWN) and Foggy Driving (FD) datasets are self-annotated using the YOLO LABEL tool and customized to four vehicle… More >

Tianming Zhang¹, Zebin Chen¹, Haonan Guo², Bojun Ren¹, Quanmin Xie^3,*, Mengke Tian^4,*, Yong Wang⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 2139-2154, 2024, DOI:10.32604/cmes.2023.043822 - 29 January 2024

Abstract The data analysis of blasting sites has always been the research goal of relevant researchers. The rise of mobile blasting robots has aroused many researchers’ interest in machine learning methods for target detection in the field of blasting. Serverless Computing can provide a variety of computing services for people without hardware foundations and rich software development experience, which has aroused people’s interest in how to use it in the field of machine learning. In this paper, we design a distributed machine learning training application based on the AWS Lambda platform. Based on data parallelism, the More >

Rogelio Valdez^1,2, Johnathan Drevik³, Megan Prunty^1,2, Ilaha Isali^1,2, Mohit Sindhani⁴, Lee Ponsky^1,2, Alberto Castro Bigalli⁵, David Chen⁵, Kirtishri Mishra^1,2, Alexander Kutikov⁵, Adam Calaway^1,2, Laura Bukavina^1,5

Canadian Journal of Urology, Vol.30, No.2, pp. 11495-11501, 2023

Abstract Introduction: To evaluate the utility, outcomes, and cost of arterial line placement in a single institution cohort of patients undergoing robotic-assisted laparoscopic prostatectomy (RALP).
Materials and methods: A retrospective chart review was performed at a large tertiary care center from July 2018 through January 2021. Hospital costs and cost-effective analysis was performed on patients with and without arterial line placement. Means with standard deviations were used to report continuous variables, while numbers and percentages were utilized to describe categorical variables. T-tests and Chi-square tests compared categorical and continuous variables across study cohorts, respectively. Multivariable analyses were used… More >

R. Meenakshi¹, R. Ponnusamy^1,*, Saleh Alghamdi², Osama Ibrahim Khalaf³, Youseef Alotaibi⁴

CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3473-3495, 2022, DOI:10.32604/cmc.2022.028540 - 16 June 2022

Abstract In 2017, it was estimated that the number of persons of all ages visually affected would be two hundred and eighty-five million, of which thirty-nine million are blind. There are several innovative technical solutions available to facilitate the movement of these people. The next big challenge for technical people is to give cost-effective solutions. One of the challenges for people with visual impairments is navigating safely, recognizing obstacles, and moving freely between locations in unfamiliar environments. A new mobile application solution is developed, and the application can be installed in android mobile. The application will More >

Syed Sajid Ullah¹, Saddam Hussain¹, Abdu Gumaei^2,3,*, Mohsin S. Alhilal⁴, Bader Fahad Alkhamees⁴, Mueen Uddin⁵, Mabrook Al-Rakhami²

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 233-249, 2022, DOI:10.32604/cmc.2022.017971 - 07 September 2021

Abstract Nowadays, healthcare has become an important area for the Internet of Things (IoT) to automate healthcare facilities to share and use patient data anytime and anywhere with Internet services. At present, the host-based Internet paradigm is used for sharing and accessing healthcare-related data. However, due to the location-dependent nature, it suffers from latency, mobility, and security. For this purpose, Named Data Networking (NDN) has been recommended as the future Internet paradigm to cover the shortcomings of the traditional host-based Internet paradigm. Unfortunately, the novel breed lacks a secure framework for healthcare. This article constructs an More >

E. Reilly Scott¹, Abhay Singh², Andrea Quinn¹, Kaitlyn Boyd³, Costas D. Lallas²

Canadian Journal of Urology, Vol.28, No.5, pp. 10874-10877, 2021

Abstract 3D printing has been growing in many surgical fields including Urology. The primary use has been to print kidneys with tumors to better understand anatomy and to assist with surgical planning and education. Previous studies that utilized 3D printing of kidneys for partial nephrectomies have been limited by the cost and complexity of model creation, rendering them highly impractical to be used on a routine basis. Using a simpler and more cost-effective design and materials allow the 3D kidney models to be used in a wider range and number of patients. We describe our streamlined More >