Diagnosis and Classification of Two Common Potato Leaf Diseases (Early Blight and Late Blight) Using Image Processing and Machine Learning by H. Koroshi Talab, D. Mohammad Zamani, M. Gholami Parashkoohi

“…Advances in agriculture have enabled the use of non-destructive machine vision systems for plant disease detection, and color imaging sensors have demonstrated great potential in this field. …”
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Measurement of Flexion Angle of the Finger Joint during Cylinder Gripping Using a Three-Dimensional Bone Model Built by X-Ray Computed Tomography by Satoshi Shimawaki, Takuma Murai, Masataka Nakabayashi, Hideharu Sugimoto

“…Conventional measurement methods include the use of angle sensors or multiple video recording of markers. In the present study, we performed X-ray computed tomography (CT) imaging on fingers gripping cylinders of three different diameters (10, 60, and 120 mm) and constructed a bone model based on these CT images to directly measure the flexion angle of each finger joint. …”
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A systematic study on complementary metal-oxide semiconductor technology (CMOS) and Internet of Things (IOT) for radioactive leakage detection in nuclear plant by Swayam Patel, Sakshi Sutaria, Rajveer Daga, Manan Shah, Mitul Prajapati

“…Complementary Metal-Oxide Semiconductor technology, or CMOS, uses complementary and symmetrical MOSFETS for logic-based functions in various applications, such as analog circuits (CMOS sensors). The Internet of Things (IoT) extends the power of the Internet beyond computing devices to a multitude of other things, processes, and environments. …”
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Tendencias de cambio de usos y coberturas de suelo en la cuenca hidrográfica media-alta del río Mira en Ecuador by Paúl Arias-Muñoz, Miguel Ángel Saz, Severino Escolano

“…El empleo de sensores remotos junto a la información de los factores sociales propios de cada población permite el monitoreo del uso de los recursos naturales. …”
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Modeling the Fire Scenario in the Diesel Storage Tank of Iran’s Specialized Hospital using PHAST Software by Fatemeh Musavi, Reza Hekmatshoar, Zakiyeh Delghandi, Majid Fallahi, Akbar Ahmadi Asour, Mahda Hekmatshoar

“…Background and Objective: Diesel storage tanks play a crucial role in hospitals and are constantly at risk of chemical release, explosion, and fire. The present study aimed to assess the consequences of a diesel tank leak in one of Iran’s specialized hospitals. …”
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Dual Signal Enhancement by Magnetic Separation and Split Aptamer for Ultrasensitive T-2 Toxin Detection by Ziyi Yan, Ping Zhu, Chaoyi Zhou, Dezhao Kong, Hua Ye

“…T-2 toxin, a type A trichothecene mycotoxin produced by <i>Fusarium</i> species, is widely present in cereals and their processed products, posing a significant contaminant in food safety. …”
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MPJ-SPARK Integration-Based Technique to Enhance Big Data Analytics in High Performance Computing Environments by Sakhr A. Saleh, Maher A. Khemakhem, Fathy E. Eassa

“…The explosion of data from various sources such as smartphone applications, sensors, social media, and High-Performance Computing (HPC) simulations, has driven demand for high-performance data analytics. …”
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A Multi-Machine and Multi-Modal Drift Detection (M2D2) Framework for Semiconductor Manufacturing by Chin-Yi Lin, Tzu-Liang (Bill) Tseng, Tsung-Han Tsai

“…An interpretability layer—using attention visualization or SHAP/LIME—delineates which sensors, logs, or batch identifiers precipitate each drift alert, accelerating root-cause analysis. …”
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Fog Service Placement Optimization: A Survey of State-of-the-Art Strategies and Techniques by Hemant Kumar Apat, Veena Goswami, Bibhudatta Sahoo, Rabindra K. Barik, Manob Jyoti Saikia

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Results of snow load monitoring system tests in winter 2020/21 by V. А. Lobkina, A. A. Muzychenko

“…Mean deviation from the reference value was equal to 0.06 kN/m2 for the System № 1 is, and 0.01 kN/m2 for the System № 2, which was consistent with the error of strain gauges (tension sensors) used in the system with account for the standard deviation error. …”
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Machine-Learning-Based Depression Detection Model from Electroencephalograph (EEG) Data Obtained by Consumer-Grade EEG Device by Kei Suzuki, Tipporn Laohakangvalvit, Midori Sugaya

“…However, there is a need to expand the range of applications by achieving a score with machine learning using simpler consumer-grade brain wave sensors. At present, a sufficient score has not been achieved.; <b>Methods:</b> To improve the score of depression detection, we quantified various EEG indices to train models such as power spectrum, asymmetry, complexity, and functional connectivity. …”
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Fog-Enabled Multimodal Chest-Worn Device for Systolic Blood Pressure Monitoring by Pamela Salas, Jose-Manuel Mejia-Munoz, Rafael Gonzalez-Landaeta

“…This paper presents a Fog-enabled chest-worn device for estimating systolic blood pressure (SBP). …”
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ANALYSIS OF LARGE-SCALE CIRCULATION OF THE ATMOSPHERE BY DATA OF REMOTE SENSING OF THE EARTH FROM SPACE by R. G. Zakinyan, A. R. Zakinyan

“…In particular, precipitation requires constant monitoring, as it is the most important component of the cycle, especially in conditions of changing climatic characteristics. Passive and active sensors aboard meteorological and environmental satellites now provide sufficiently comprehensive data that allows better measurements of precipitation from space to improve our understanding of cycle acceleration / deceleration in current and predicted climatic conditions. …”
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Thermal Analysis of Energy Efficiency Performance and Indoor Comfort in a LEED-Certified Campus Building in the United Arab Emirates by Khushbu Mankani, Mutasim Nour, Hassam Nasarullah Chaudhry

“…In the United Arab Emirates (UAE), even newly constructed facilities with green building certifications present opportunities for retrofitting and performance optimization. …”
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Quantifying the Accuracy of UAS-Lidar Individual Tree Detection Methods Across Height and Diameter at Breast Height Sizes in Complex Temperate Forests by Benjamin T. Fraser, Russell G. Congalton, Mark J. Ducey

“…Unpiloted aerial systems (UAS) and light detection and ranging (lidar) sensors provide users with an increasingly accessible mechanism for precision forestry. …”
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Investigating the effect of Gotvand Dam on changes in soil salinity and vegetation cover of downstream lands of the dam using satellite imagery and spectral indices by Morteza Sharif, Saeid Hamzeh

“…This is a serious problem in different regions of Iran, especially in Khuzestan Province. Therefore, the present study was conducted with the aim of monitoring and evaluating the effect of Gotvand Dam on the salinization of the downstream area and changing its plant ecosystem before and after water intake using remote sensing imagery.Material and methods: The time series of two ETM+ and OLI sensors from 2019-1999 were collected using plant indices (NDVI, SAVI), biophysical index of leaf cover (LAI), and salinity indices. …”
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A Lightweight Encryption Method for IoT-Based Healthcare Applications: A Review and Future Prospects by Omar Sabri, Bassam Al-Shargabi, Abdelrahman Abuarqoub, Tahani Ali Hakami

“…The rapid proliferation of Internet of Things (IoT) devices in healthcare, from wearable sensors to implantable medical devices, has revolutionised patient monitoring, personalised treatment, and remote care delivery. …”
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Application of Mixed-Mode Ventilation to Enhance Indoor Air Quality and Energy Efficiency in School Buildings by Christopher Otoo, Tao Lu, Xiaoshu Lü

“…The implementation of mixed-mode ventilation systems with automated controls presents a promising solution to address this issue. …”
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Design of a Piezoelectrically Actuated Ultrananocrystalline Diamond (UNCD) Microcantilever Biosensor by Villarreal Daniel, Orlando Auciello, Elida de Obaldia

“…This work presents the theoretical design and finite element modeling of high-sensitivity microcantilevers for biosensing applications, integrating piezoelectric actuation with novel ultrananocrystalline diamond (UNCD) structures. …”
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A Systematic Review of Real-Time Medical Simulations with Soft-Tissue Deformation: Computational Approaches, Interaction Devices, System Architectures, and Clinical Validations by Tan-Nhu Nguyen, Marie-Christine Ho Ba Tho, Tien-Tuan Dao

“…The interaction devices concerned about combination between virtual surgical instruments and force-feedback devices, 3D scanners, biomechanical sensors, human interface devices, 3D viewers, and 2D/3D optical cameras. …”
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