Singular Value Decomposition (SVD) Method for LiDAR and Camera Sensor Fusion and Pattern Matching Algorithm by Kaiqiao Tian, Meiqi Song, Ka C. Cheok, Micho Radovnikovich, Kazuyuki Kobayashi, Changqing Cai

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Supervisory Configuration of Deep Learning Networks for Plant Stress Detection and Synthetic Dataset Generation by J. Renan Velazquez-Gonzalez, Madain Perez-Patricio, J. A. de Jesus Osuna-Coutino, Jorge Luis Camas-Anzueto, Abiel Aguilar-Gonzalez, N. A. Morales-Navarro, Carlos A. Hernandez-Gutierrez

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Detection and Classification of <i>Agave angustifolia</i> Haw Using Deep Learning Models by Idarh Matadamas, Erik Zamora, Teodulfo Aquino-Bolaños

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BICLUSTERING APPLICATION IN INDONESIAN ECONOMIC AND PANDEMIC VULNERABILITY by Wiwik Andriyani Lestari Ningsih, I Made Sumertajaya, Asep Saefuddin

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EBSSPA: Efficient Deep Learning Model for Enhancing Blockchain Scalability and Security Through Fusion Pattern Analysis by Anuradha Hiwase, Amit Pimpalkar, Barkha Dange, Nitin Thakre, Sakshi Jaiswal, Tejaswini Mankar

“…Furthermore, random forest and convolutional neural networks (CNNs) are applied to augment security operations as an effective classier and anomaly detector on transaction data and a real-time threat detection on transaction patterns using the CNNs. By analysing time series data and dealing with long-term dependencies, the model uses RNNs and LSTMs to enable the strategic introduction of the model to predict and control network loads. …”
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Room Security System with Face Recognition using Local Binary Pattern Histogram Algorithm based on the Internet of Things by Turkhamun Adi Kurniawan, Istiqomah Sumadikarta, Sukarno Bahat Nauli, Faizal Zuli, Teguh Budi Santoso, Muhammad Roufiqi Desma

“…An Internet of Things-based security system and OpenCV technology have been developed to improve the efficiency and ease of monitoring video footage from CCTV. The face detection process is carried out using the Haar Cascade method, while facial recognition is carried out using the Local Binary Pattern Histogram algorithm. …”
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Decadal analysis of sea surface temperature patterns, climatology, and anomalies in temperate coastal waters with Landsat-8 TIRS observations by Yiqing Guo, Nagur Cherukuru, Eric Lehmann, Xiubin Qi, Mark J. Doubell, S. L. Kesav Unnithan, Ming Feng

“…The Thermal Infrared Sensor (TIRS) onboard Landsat-8, with its 100-m spatial resolution, offers a unique opportunity to uncover fine-scale coastal SST patterns that would otherwise be overlooked by coarser-resolution thermal sensors. …”
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Leveraging time-based spectral data from UAV imagery for enhanced detection of broomrape in sunflower by Guy Atsmon, Anna Brook, Tom Avikasis Cohen, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati

“…This study investigates the use of unmanned aerial vehicle (UAV)-based multispectral imaging to detect broomrape-infected sunflowers by analyzing temporal patterns in spectral vegetation indices (VIs). …”
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Facile patterning of microfluidic paper-based analytical devices (μPADs) by dispensing propylene glycol methyl ether acetate (PGMEA) by Xionghui Li, Xuanying Liang, Haonan Li, Jing Song, Kanghui Li, Muyang Zhang, Huiru Zhang, Zhuoting Han, Lok Ting Chu, Weijin Guo

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An Ensemble of Convolutional Neural Networks for Sound Event Detection by Abdinabi Mukhamadiyev, Ilyos Khujayarov, Dilorom Nabieva, Jinsoo Cho

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DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis by Hasina Attaullah, Sanaullah Sanaullah, Annika Peters, Qazi Arbab Ahmed, Justin Baudisch, Thorsten Jungeblut

“…This work presents a novel approach using smart home data to detect early signs of neurodegeneration through continuous monitoring of sleep patterns and daily activity routines. …”
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Analysing of drug patterns in primary healthcare centers in Indonesia based on WHO's prescribing indicators by Elida Zairina, Inge Dhamanti, Ida Nurhaida, Davina S. Mutia, Arivazhagan Natesan

“…Background: The quality of healthcare service delivery must be appropriate to detect and manage disease effectively. Nonetheless, there is a lack of data on the quality of prescribing patterns and healthcare in primary healthcare centers. …”
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Visual recognition of honeybee behavior patterns at the hive entrance. by Tomyslav Sledevič, Artūras Serackis, Dalius Matuzevičius, Darius Plonis, Gabriela Vdoviak

“…Key contributions include the development of a comprehensive dataset with 7200 frames from eight beehives, the introduction of the first known research focused on recognizing bee behavior patterns through visual analysis at the hive entrance, and a comparative evaluation of various object detection and tracking algorithms tailored for bee detection and behavior recognition. …”
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Task-dependent eye-movement patterns in viewing art by Nino Sharvashidze, Alexander C Schütz

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Marine Mammals Classification using Acoustic Binary Patterns by Maheen NADIR, Syed Muhammad ADNAN, Sumair AZIZ, Muhammad Umar KHAN

“…Prior methods for classification focused on spectral features which result in increasing bias for contour base classifiers in automatic detection algorithms. In this study, acoustic marine mammal classification is performed through the fusion of 1D Local Binary Pattern (1D-LBP) and Mel Frequency Cepstral Coefficient (MFCC) based features. …”
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A Linear Differentiation Scheme for Camouflaged Target Detection using Convolution Neural Networks by Jagadesh Sambbantham, Gomathy Balasubramanian, Rajarathnam, Mohit Tiwari

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THE PATTERNS OF THE HEMODYNAMICS MONITORING IN THE BAD CONCOMITANT INJURY PATIENTS by I. M. Samokhvalov, S. V. Gavrilin, D. P. Meshakov, S. V. Nedomolkin, V. I. Badalov, V. V. Suvorov, T. Yu. Suprun, M. V. Sokhranov, S. A. Smirnov

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Some patterns of development radio-induced metachronous tumors by A. V. Vazhenin, N. A. Shanazarov, E. L. Shun’ko

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Effect of Phase Relations on Speckle Pattern: Simulation and Measurement by Linlu He, Haitao Zhang, Decai Deng, Qihang Gong, Jiaqi Zu, Kuo Meng

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Fabrication of Patterned Magnetic Particles in Microchannels and Their Application in Micromixers by Tianhao Li, Chen Yang, Zihao Shao, Ya Chen, Jiahui Zheng, Jun Yang, Ning Hu

“…By manipulating the magnetic field, the particles are driven into motion, altering the flow patterns to achieve fluid mixing. Under conditions where the Reynolds number in the chip ranges from 0.1 to 0.9, the mixing index for substances in aqueous solutions exceeds 0.9. …”
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