Tiren Huang, Chong Luo, Xu Li^*

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5847-5865, 2025, DOI:10.32604/cmc.2025.067986 - 23 October 2025

Abstract Automatic pancreas segmentation in CT scans is crucial for various medical applications including early disease detection, treatment planning and therapeutic evaluation. However, the pancreas’s small size, irregular morphology, and low contrast with surrounding tissues make accurate pancreas segmentation still a challenging task. To address these challenges, we propose a novel RPMS-DSAUnet for accurate automatic pancreas segmentation in abdominal CT images. First, a Residual Pyramid Squeeze Attention module enabling hierarchical multi-resolution feature extraction with dynamic feature weighting and selective feature reinforcement capabilities is integrated into the backbone network, enhancing pancreatic feature extraction and improving localization accuracy.… More >

Uzair Abbas¹, Zahid Maqbool¹, Muhammad Adnan Shahid^1,2,*, Muhammad Safdar^1,2, Saif Ullah Khan^1,3

Revue Internationale de Géomatique, Vol.34, pp. 655-668, 2025, DOI:10.32604/rig.2025.064279 - 11 August 2025

Abstract This study was conducted to devise an integrated methodology for retrieval of surface soil moisture (SSM) using Landsat 8 TIRS data. For this purpose, Landsat 8 images of 15 May 2021 (pre-monsoon) and 20 November 2021 (post-monsoon) were processed for retrieval of soil moisture index (SMI) based on land surface temperature (LST). Moreover, field-based SM in the laboratory was also determined and correlated with satellite-based SMI. A moderate correlation between field-based SM and satellite-based SMI with R² = 0.60 was obtained. Based on this relationship, SSM maps of Tehsil Faisalabad Saddar for the pre-and post-monsoon seasons… More >

Atena Shiranzaei^1,*, Emad Alizadeh², Mahdi Rabbani³, Sajjad Bagheri Baba Ahmadi^4,*, Mohsen Tajgardan⁵

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5381-5402, 2025, DOI:10.32604/cmc.2025.064414 - 30 July 2025

Abstract The sinkhole attack is one of the most damaging threats in the Internet of Things (IoT). It deceptively attracts neighboring nodes and initiates malicious activity, often disrupting the network when combined with other attacks. This study proposes a novel approach, named NADSA, to detect and isolate sinkhole attacks. NADSA is based on the RPL protocol and consists of two detection phases. In the first phase, the minimum possible hop count between the sender and receiver is calculated and compared with the sender’s reported hop count. The second phase utilizes the number of DIO messages to More >

Abdel Aziz Osseni¹, Hubert Olivier Dossou-Yovo^2,*, Apollon D.M.T. Hegbe³, Muhammad Nauman Khan⁴, Brice Sinsin²

Revue Internationale de Géomatique, Vol.34, pp. 209-234, 2025, DOI:10.32604/rig.2025.061448 - 14 April 2025

Abstract Today, environmental studies based on satellite imagery are known as making valuable contributions to the dynamics and spatial prediction of sensitive or complex ecosystems such as wide protected areas and represent sustainable decision tools. The Pendjari and W Transboundary Reserves which constitute biodiversity reservoirs, habitats for wildlife conservation lack substantial investigations on the vegetation dynamics. Despite the protection measures they benefit from, these reserves remain dependent on climatic hazards that can influence their stability. The present study is innovative since it applied remote sensing techniques combined with climate records from the last thirty years to… More >

Vu Thi Phuong¹, Bui Bao Thien^2,*

Revue Internationale de Géomatique, Vol.34, pp. 151-168, 2025, DOI:10.32604/rig.2025.062829 - 21 March 2025

Abstract Vegetation is crucial to ecosystems, thus, detecting and assessing changes in vegetation cover are receiving increasing attention. In this study, we combine remote sensing data and geographic information systems to assess vegetation cover changes in Da Nang city, Vietnam, between 1988 and 2022. Remote sensing images for the years 1988, 2000, and 2010 were obtained from Landsat 5-TM satellite data, and imagery for 2022 was obtained from Landsat 9-OLI/TIRS satellite data. In each satellite scene, we used supervised classification and spectral indices (NDWI—Normalized Difference Water Index, NDVI—Normalized Difference Vegetation Index, and SAVI—Soil Adjusted Vegetation Index) More >

Yaqi Zhang^1,#, Liang Hu^1,#, Yuxi Zhang¹, Bo Qian¹, Jirong Qi^1,2, Wei Peng^1,2,*

Congenital Heart Disease, Vol.20, No.1, pp. 55-60, 2025, DOI:10.32604/chd.2025.063072 - 18 March 2025

Abstract Background: Carotid artery pseudoaneurysm in children is rare; typically caused by trauma; surgical interventions and infection. These aneurysms can lead to significant neurological and vascular risks; and their management remains challenging. While endovascular therapy has become the standard for giant pseudoaneurysms in adults; its use in children is limited. No established guidelines or long-term safety data exist for pediatric endovascular treatment. We present a child who developed a carotid artery pseudoaneurysm after venoarterial extracorporeal membrane oxygenation (VA-ECMO) support and heart transplantation; highlighting the management strategies and outcomes. Case Description: A 4-year-old boy with dilated cardiomyopathy was admitted… More >

Jean Aime Mono^1,2,*, Apollinaire Bouba³, Jean Daniel Ngoh⁴, Olivier Ulrich Igor Owono Amougou⁵, Françoise Martine Enyegue A Nyam⁶, Théophile Ndougsa Mbarga⁷

Revue Internationale de Géomatique, Vol.33, pp. 135-154, 2024, DOI:10.32604/rig.2024.049966 - 15 May 2024

Abstract This study focuses on the mapping of lineaments using remote sensing techniques and Geographic Information Systems. The aim is to carry out a statistical analysis of the lineaments in order to better understand the organization of fracturing in the Batie district, and to identify areas of high fracturing density and their relationship with the hydrographic network. The methodology implemented to achieve these objectives is based on the processing and analysis of Landsat 9 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) satellite imagery and Shuttle Radar Topography Mission (SRTM) data covering the study area. After essential pre-processing… More >

Caixia Tao, Shize Yang^*, Taiguo Li

Energy Engineering, Vol.121, No.1, pp. 187-201, 2024, DOI:10.32604/ee.2023.042421 - 27 December 2023

Abstract With the current integration of distributed energy resources into the grid, the structure of distribution networks is becoming more complex. This complexity significantly expands the solution space in the optimization process for network reconstruction using intelligent algorithms. Consequently, traditional intelligent algorithms frequently encounter insufficient search accuracy and become trapped in local optima. To tackle this issue, a more advanced particle swarm optimization algorithm is proposed. To address the varying emphases at different stages of the optimization process, a dynamic strategy is implemented to regulate the social and self-learning factors. The Metropolis criterion is introduced into… More >

Seog Chung Seo¹, Sang Woo An², Dooho Choi^3,*

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1963-1980, 2023, DOI:10.32604/cmc.2023.033910 - 06 February 2023

Abstract Since 2016, the National Institute of Standards and Technology (NIST) has been performing a competition to standardize post-quantum cryptography (PQC). Although Falcon has been selected in the competition as one of the standard PQC algorithms because of its advantages in short key and signature sizes, its performance overhead is larger than that of other lattice-based cryptosystems. This study presents multiple methodologies to accelerate the performance of Falcon using graphics processing units (GPUs) for server-side use. Direct GPU porting significantly degrades performance because the Falcon reference codes require recursive functions in its sampling process. Thus, an… More >

Mutiullah Jamil¹, Hafeez ul Rehman¹, SaleemUllah¹, Imran Ashraf^2,*, Saqib Ubaid¹

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5545-5557, 2023, DOI:10.32604/cmc.2023.033449 - 28 December 2022

Abstract Wheat species play important role in the price of products and wheat production estimation. There are several mathematical models used for the estimation of the wheat crop but these models are implemented without considering the wheat species which is an important independent variable. The task of wheat species identification is challenging both for human experts as well as for computer vision-based solutions. With the use of satellite remote sensing, it is possible to identify and monitor wheat species on a large scale at any stage of the crop life cycle. In this work, nine popular… More >