Real-Time Semantic Segmentation of 3D LiDAR Point Clouds for Aircraft Engine Detection in Autonomous Jetbridge Operations by Ihnsik Weon, Soongeul Lee, Juhan Yoo

“…For the segmented aircraft engine parts, the centroid of the grouped data was computed to determine the 3D position of the aircraft engine. Additionally, PointNet was applied to identify aircraft engines from the segmented data. …”
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UNestFormer: Enhancing Decoders and Skip Connections With Nested Transformers for Medical Image Segmentation by Adnan Md Tayeb, Tae-Hyong Kim

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Assessing CNN and Semantic Segmentation Models for Coarse Resolution Satellite Image Classification in Subcontinental Scale Land Cover Mapping by Tesfaye Adugna, Wenbo Xu, Jinlong Fan, Haitao Jia, Xin Luo

“…In this study, we evaluated the performance and feasibility of three CNN models (1-D CNN, 2-D CNN, and 3-D CNN), and U-net for coarse-resolution satellite image classification and compared them to a random forest (RF) classifier. …”
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Enhancing semi‐supervised contrastive learning through saliency map for diabetic retinopathy grading by Jiacheng Zhang, Rong Jin, Wenqiang Liu

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Refining landsat-based annual NDVImax estimation using shape model fitting and phenological metrics by Lihao Zhang, Miaogen Shen, Licong Liu, Xuehong Chen, Ruyin Cao, Qi Dong, Yang Chen, Jin Chen

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Analysis of characteristics of land use change and its ecological effects in the Datong River Basin by Zhenlin Li, Zhenlin Li, Xiang Qin, Xiang Qin, Yushuo Liu, Yushuo Liu, Zizhen Jin

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UCSwin‐UNet model for medical image segmentation based on cardiac haemangioma by Jian‐Ting Shi, Gui‐Xu Qu, Zhi‐Jun Li

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Modeling and analysis of micro processes by Xu Bin, Zhou Yang, He Shufen, Hong Canmei, Zhou Zhixun

“…Firstly, micro processes and micro processes composition under synchronous communication and asynchronous communication models are modeling based on Petri nets. Secondly, the soundness of composite micro processes is analyzed based on the Petri net analysis technology. …”
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Embedding and classifying test execution traces using neural networks by Foivos Tsimpourlas, Gwenyth Rooijackers, Ajitha Rajan, Miltiadis Allamanis

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Machine learning models for enhanced stroke detection and prediction by Shilpa Bajaj, Manju Bala, Mohit Angurala

“…This research evaluates the performance of three machine learning models—OzNet-mRMR-NB, Logistics Regression, and an Ensemble CNN—using medical images for stroke prediction. …”
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A proposed stochastic growth model for monitoring the population dynamics in Ghana by Richel O. Attafuah, Eric Ocran, Enoch Sakyi-Yeboah, Edward Acheampong, Louis Asiedu

“…Population size modelling offers crucial insights into societal, economic, environmental, and public health dynamics, aiding in informed decision-making and sustainable development efforts. …”
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CART-ANOVA-Based Transfer Learning Approach for Seven Distinct Tumor Classification Schemes with Generalization Capability by Shiraz Afzal, Muhammad Rauf, Shahzad Ashraf, Shahrin Bin Md Ayob, Zeeshan Ahmad Arfeen

“…<b>Methods:</b> The proposed framework employs a ResNet18-based knowledge transfer learning (KTL) model trained on a primary dataset, with 20% allocated for testing. …”
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Use of a portable field-adapted liquid chromatographic system (C-Vue machine) to estimate the quantity of deltamethrin on insecticide-treated nets paired with WHO cone bioassays to... by Moussa B. M. Cisse, Ibrahim Traore, Mamadou Sow, Yacouba Dansoko, Alice Dembele, Lazeni Konate, Jean-Marie Sanou, Youssouf Diarra, Samah Sissoko, Abdourhamane Dicko, Mahamadou Magassa, Lansana Sangare, Jules Mihigo, Celestin Kouambeng, Phillipe Rwatana Mutwa, Paula Marcet, Michael D. Green, Ousmane Koita

“…Methods At 6 months (May, 2018), 12 months (December, 2018), 24 months (November–December, 2019), and 36 months (November–December, 2020), 30 nets were randomly collected from households in the districts of Kenieba and Kita in the southern part of Mali, together with information about ITN use and washing practices. …”
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Energy‐based PINNs for solving coupled field problems: Concepts and application to the multi‐objective optimal design of an induction heater by Marco Baldan, Paolo Di Barba

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Image-based medical expert teleconsultation in acute care of injuries. A systematic review of effects on information accuracy, diagnostic validity, clinical outcome, and user satis... by Marie Hasselberg, Netta Beer, Lisa Blom, Lee A Wallis, Lucie Laflamme

“…The DeLone and McLean Information System Success Model was used as a framework to synthesise the results according to system quality, user satisfaction, information quality and net benefits. …”
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Sustainable development reporting in public sector institutions and agencies by Bistra Nikolova

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FDC-TA-DSN Ship Classification Model and Dataset Construction Based on Complex-Valued SAR by Gui Gao, Yucong He, Jinghao Zhao, Sijie Li, Meixiang Wang, Gang Yang, Xi Zhang

“…On one hand, how to comprehensively utilize the amplitude and phase information in SAR data has become a key problem for improving the performance of ship classification. …”
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Fault Diagnosis Method of Gear based on Adaptive Demodulated Resonance by Lian Peng, Yang Jianwei, Yao Dechen

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DYNAMIC UNBALANCE DETECTION OF CARDAN SHATF IN HIGH-SPEED TRAIN BASED ON MODIFIED VARIATIONAL MODE DECOMPOSITION by HONG JianFeng, DING JianMing, LIN JianHui, ZHENG ShuBin

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Analysing humanities scholars’ data seeking behaviour patterns using Ellis' model by Wenqi Li, Pengyi Zhang, Jun Wang

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