Rigorous and extensive accuracy assestment of automatically classified LiDAR data: a case study in the city of Milan, Italy by D. Lodigiani, V. M. Casella

“…LiDAR data filtering has been an active research area for nearly thirty years and continues to present significant challenges due to the increasing density of acquired LiDAR data. …”
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Research on Cam–Kalm Automatic Tracking Technology of Low, Slow, and Small Target Based on Gm-APD LiDAR by Dongfang Guo, Yanchen Qu, Xin Zhou, Jianfeng Sun, Shengwen Yin, Jie Lu, Feng Liu

“…Traditional detection methods have many limitations in dealing with “low, slow, and small” targets. This paper presents a pure laser automatic tracking system based on Geiger-mode avalanche photodiode (Gm-APD). …”
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Optimized Design and Deep Vision-Based Operation Control of a Multi-Functional Robotic Gripper for an Automatic Loading System by Yaohui Wang, Sheng Guo, Jinliang Zhang, Hongbo Ding, Bo Zhang, Ao Cao, Xiaohu Sun, Guangxin Zhang, Shihe Tian, Yongxu Chen, Jixuan Ma, Guangrong Chen

“…This study presents an optimized design and vision-guided control strategy for a multi-functional robotic gripper integrated into an automatic loading system for warehouse environments. …”
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PCA-based denoising and automatic recognition of marine biological sounds to estimate Bio-voice Count Index for marine monitoring by Bingjia Huang, Yi Wu, Yihua Lyu, Xi Yan, Mengmeng Tong, Xiaoping Wang

“…Passive acoustic monitoring faces methodological challenges when isolating biological signals from anthropogenically dominated marine soundscapes. To address this, we present two novel computational workflows: (1) a Principal Component Analysis (PCA)-driven noise reduction algorithm that selectively suppresses anthropogenic noise (e.g., vessel sounds) overlapping with biological frequency bands; and (2) an automatic Bio-voice Count Index (BCI) that quantifies target biological sounds through energy thresholding and adjustable frequency-weighting curve. …”
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Automatic Detection and 3D Modeling of City Furniture Objects using LiDAR and Imagery Mobile Mapping Data by H. Doi, A. Yarroudh, I. Jeddoub, R. Hajji, R. Billen

“…This study implements two methodologies for detecting, classifying, and positioning City Furniture objects, as well as one approach for their automatic 3D modeling. The first approach uses Mobile Mapping System (MMS) imagery with YOLO for object detection and classification, coupled with the Line of Bearing (LoB) method for extracting XYZ coordinates and height. …”
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Prototype Mobile Vision System for Automatic Length Estimation of Olive Flounder (<i>Paralichthys olivaceus</i>) in Indoor Aquaculture by Inyeong Kwon, Hang Thi Phuong Nguyen, Paththige Waruni Prasadini Fernando, Hieyong Jeong, Sungju Jung, Taeho Kim

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Automatic dependent surveillance-broadcast (ADS-B) anomalous messages and attack type detection: deep learning-based architecture by Waqas Ahmed, Ammar Masood, Jawad Manzoor, Sedat Akleylek

“…Automatic Dependent Surveillance-Broadcast (ADS-B) is a vital communication protocol within air traffic control (ATC) systems. …”
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Automatic analysis of three-dimensional cardiac tagged magnetic resonance images using neural networks trained on synthetic data by Stefano Buoso, Christian T. Stoeck, Sebastian Kozerke

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Automatic Brain Tumor Segmentation: Advancing U-Net With ResNet50 Encoder for Precise Medical Image Analysis by Shoffan Saifullah, Rafal drezewski, Anton Yudhana, Andiko Putro Suryotomo

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Going Deeper With Deep Learning: Automatically Tracing Internal Reflection Horizons in Ice Sheets—Methodology and Benchmark Data Set by Hameed Moqadam, Daniel Steinhage, Adalbert Wilhelm, Olaf Eisen

“…Here, our goal is to present a complete pipeline for automatic tracing of internal reflection horizons (IRH) of intermediate to large depths in the ice sheet from radargrams using deep learning. …”
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Design and Testing of a Tractor Automatic Navigation System Based on Dynamic Path Search and a Fuzzy Stanley Model by Bingbo Cui, Xinyu Cui, Xinhua Wei, Yongyun Zhu, Zhen Ma, Yan Zhao, Yufei Liu

“…First, the tracking performance of the steering control module was validated after the automatic reconstruction of the tractor platform. Then, a navigation decision system was established based on a unified reference waypoint search framework, where the path generation for whole-field coverage was presented. …”
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ADHD Children Take More Time to Inhibit Automatic Responses: A Comparison with Anxiety Disorders Using NEPSY-II by Fabiola Panvino, Valerio Zaccaria, Michela Pica, Nunzia Amitrano, Francesco Pisani, Carlo Di Brina

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autoRA: An Algorithm to Automatically Delineate Reference Areas—A Case Study to Map Soil Classes in Bahia, Brazil by Hugo Rodrigues, Marcos Bacis Ceddia, Gustavo Mattos Vasques, Sabine Grunwald, Ebrahim Babaeian, André Luis Oliveira Villela

“…In this study, an innovative algorithm that delineates RA (autoRA—automatic reference areas) is presented, and its efficiency is evaluated in Sátiro Dias, Bahia, Brazil. autoRA integrates multiple environmental covariates (e.g., geomorphology, geology, digital elevation models, temperature, precipitation, etc.) using the Gower’s Dissimilarity Index to capture landscape variability more comprehensively. …”
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Assessment of sensor driven automatic smart soil and paddy seed metering mechanisms using artificial intelligence for paddy nurseries by Vinod Choudhary, Rajendra Machavaram, Prakhar Patidar, Gajendra Singh, Naseeb Singh, Lokesh Kumawat

“…A sensor-based automatic soil and paddy seed metering mechanism is essential to ensure uniform distribution of soil and seeds in trays with precise quantities, optimizing seedling growth and efficiency. …”
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Automatic Segmentation of Asphalt Cracks on Highways After Large-Scale and Severe Earthquakes Using Deep Learning-Based Approaches by Mehmet Yilmaz, Erkut Yalcin, Fatih Demir, Ahmet Munir Ozdemir, Muhammed Atar, Aysegul Gunes, Beyza Furtana Yalcin, Ertugrul Cambay

“…The most crucial step in the automatic detection of these damages is the reliable preparation of a high-accuracy dataset. …”
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A Comparative Study of Machine Learning and Deep Learning Models for Automatic Parkinson’s Disease Detection from Electroencephalogram Signals by Sankhadip Bera, Zong Woo Geem, Young-Im Cho, Pawan Kumar Singh

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Attention-Enhanced Hybrid Automatic Modulation Classification for Advanced Wireless Communication Systems: A Deep Learning-Transformer Framework by Sam Ansari, Khawla A. Alnajjar, Sohaib Majzoub, Eqab Almajali, Anwar Jarndal, Talal Bonny, Abir Hussain, Soliman Mahmoud

“…To address these limitations, this paper presents a novel attention-enhanced hybrid AMC framework that synergistically integrates specialized convolutional layers for efficient temporal feature extraction with a compact transformer encoder for global sequence modeling. …”
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IBERBIRDS: A dataset of flying bird species present in the Iberian PeninsulaZenodo by Paula Rodríguez, Rubén Parte, Guillermo A. González, Alejandra Gacho, Darío Santos, Rubén Usamentiaga, Oscar D. Pedrayes

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Gradient Information Enhanced Image Segmentation and Automatic In Situ Contact Angle Measurement Applied to Images of Multiphase Flow in Porous Media by Yang Gao, Sajjad Foroughi, Zhuangzhuang Ma, Sanyi Yuan, Lizhi Xiao, Branko Bijeljic, Martin J. Blunt

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Aplicación de escoria granulada con aire a la soldadura automática//Application of slag granulated with air in the automatic welding by Daniel Pérez‐Pérez, Carlos René Gómez-Pérez, Eriel Pérez-Zapico, Rafael Quintana-Puchol, Lorenzo Perdomo-González

“…<br />_______________________________________________________________________________<br /><br /><strong>Abstract</strong><br /><br />The objective of the present work is to evaluate the fundamentals properties of an air granulated slag and his use during the automatic submerged arc welding process, confront it to a water granulated fused flux. …”
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