Long-Range Bird Species Identification Using Directional Microphones and CNNs by Tiago Garcia, Luís Pina, Magnus Robb, Jorge Maria, Roel May, Ricardo Oliveira

“…The furthest successful detection was obtained at 510 m. While the method showed promise in enhancing the identification process compared to traditional techniques, there were notable limitations in the clarity of the audio recordings. …”
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Klasifikasi Penyakit pada Tanaman Berdasarkan Citra Daun Menggunakan Metode Convolutional Neural Network by Denis Aji Pangestu, Okta Qomaruddin Aziz, Cahyo Crysdian

“…Plant disease identification typically requires experienced experts, but this process is time-consuming and costly. This research aims to develop a plant disease classification model using Convolutional Neural Network (CNN) to assist farmers in identifying diseases in rice, corn, tomato, and potato plants based on leaf images. …”
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Simultaneous Determination and Stability Studies on Diminazene Diaceturate and Phenazone Using Developed Derivative Spectrophotometric Method by Ruaa Mohamed Akode, Shaza Wagiealla Shantier, Elrasheed Ahmed Gadkariem, Magdi Awadalla Mohamed

“…Diminazene diaceturate was prone to degrade at acidic pH via first-order kinetics. The degradation process was found to be temperature dependent with an activation energy of 7.48 kcal/mole. …”
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Fusion feature-based hybrid methods for diagnosing oral squamous cell carcinoma in histopathological images by Jiaxing Li

“…ObjectiveThis study is experimental in nature and assesses the effectiveness of the Cross-Attention Vision Transformer (CrossViT) in the early detection of Oral Squamous Cell Carcinoma (OSCC) and proposes a hybrid model that combines CrossViT features with manually extracted features to improve the accuracy and robustness of OSCC diagnosis.MethodsWe employed the CrossViT architecture, which utilizes a dual attention mechanism to process multi-scale features, in combination with Convolutional Neural Networks (CNN) technology for the effective analysis of image patches. …”
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THE EFFECTIVENESS OF VALIDATION MEASUREMENTS IN AUTOMATED SYSTEMS OF THE POWER SUPPLY SYSTEMS CONTROL IN ACCORDANCE WITH LIMIT VALUES by V. A. Anishchenko, T. V. Pisaruk

“…This reduces the probability of detection of gross and systematic errors of measurements more than it may be accepted. …”
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Towards a Sustainable Disruptive Growth Model: Integrating Foresight, Wild Cards and Weak Signals Analysis by Rafael Popper, Yuli Villarroel, Raimund Popper

“…The study develops metrics to assess four dimensions of evolutionary change – context, people, process, and impact – supporting adaptive resilience and stability. …”
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ADVANCEMENTS IN ALZHEIMER’S DIAGNOSIS THROUGH MRI USING BAYESIAN CONVOLUTIONAL NEURAL NETWORKS AND VARIATIONAL INFERENCE by Alifia Ardha Nareswari, Dina Tri Utari

“…The disease is less treated and less recognized, but Alzheimer’s disease is now a significant public health problem. Early detection of the disease can significantly reduce symptoms. …”
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The Contribution of the Geographic Information System GIS in the Definition of Water Potential Zones in the Abou Ali Watershed (North Lebanon) by Douha Akkari

“…A reclassification followed by a weighting of these parameters was performed according to their degree of influence in the recharging process and following an analysis of the CSI cumulative score index. …”
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Influence of Nonlinear Effects Induced by Mode Coupling on Vibration Trajectories of MEMS Micromirrors by Zhen Chen, Dayong Qiao, Anjie Peng

“…Detection of the vibration trajectories of MEMS micromirrors is crucial for ensuring their application performance. …”
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Co-registration of Optically Sensed Images and Correlation (COSI-Corr) applications in ground deformation measurement by Junyang Kou, Xiaobo Zou, Lei Mao

“…Traditional optical remote sensing change detection methods can’t eliminate the error induced by the imaging system and terrain, due to the need for external information from global positioning system (GPS) measurements. …”
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Innovative cross-layer defense mechanisms for blackhole and wormhole attacks in wireless ad-hoc networks by Jagadeesan Srinivasan

“…Current methods face issues such as low detection accuracy, structural deviation, and extended processing times. …”
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Research Paper: Experimental Study of the Effect of Stress on the Magnetic Signatures of a Steel Sample by Reza Eslamifar, Mohsen Safikhani, Morteza Mozaffari

“…This phenomenon negatively impacted the performance of the deperming process. Also, for further investigation, the increasing trend of magnetic signatures was evaluated at pressures of 30, 45, and 60 bar.…”
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Measurement of Phenolic Compounds by Spectrometry and Chromatography in Lime Juices by Fatemeh Shakeri, Mohammad Shakeri, Fatemeh Pour Ramezani, Mohadeseh Pirhadi, Masoud Aman Mohammadi, Samira Shokri, Tayebeh Zeinali

“…Juice demand has been increasing at a rapid rate in recent years, and one of the major efforts underway to meet this demand is to minimize changes during the juice process. Due to the high consumption of juice and the carcinogenicity of synthetic and chemical substances, this research uses high performance liquid chromatography (HPLC) and spectrophotometry to detect fake juices. …”
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Vibroacoustic Response of a Disc-Type Underwater Glider During Its Entry into Water by Zhaocheng Sun, Yanting Yu, Dong Li, Chuanlin He, Yue Zhang

“…During its water entry process, there are six distinct bright curves in frequency–depth spectra of sound pressure radiated from a partially immersed disc-type glider. …”
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Vibration Sensor Approaches for the Monitoring of Sand Production in Bohai Bay by Kai Wang, Zhiguo Liu, Gang Liu, Longtao Yi, Kui Yang, Shiqi Peng, Man Chen

“…The real-time monitoring of sand production has always been an important issue during the process of oil production in offshore field. This paper illustrates a new alternative vibration sensor approach to monitor the sand production. …”
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In vivo trafficking of cancer-derived exosomes and their role in metastasis by Shih-Yen Wei, Sarah E. Shelton, Ying-Chieh Chen, Ke Huang

“…Cancer metastasis is one of the leading causes of cancer-related mortality. This process is driven by a combination of biological processes including invasion, intravasation, circulation, extravasation, and colonization of distant organs, among which cancer cell-derived exosomes facilitate metastasis through their enriched oncogenic miRNAs and lncRNAs to enhance cancer cell migration and invasion, promote epithelial-mesenchymal transition in recipient cells, help cancer cells evade immune detection, and alter the microenvironment to promote the formation of a pre-metastatic niche. …”
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Dual gel Electromembrane extraction coupled with UV–vis spectrophotometry for the simultaneous Preconcentration and determination of Chromophorically similar dyes in complex matric... by M. Ouhadifar, A. Shokrollahi, M. Ghaedi, M. Navaser

“…Dual gel electromembrane extraction (G-EME) methodology coupled with UV–Vis spectrophotometry is presented for the concurrent determination of Brilliant blue (BB) and Malachite green (MG) in complex matrices. The G-EME process, underpinned by electromigration and electroendosmosis, enables selective extraction of BB and MG into distinct acceptor phases based on their ionic characteristics. …”
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Vector visibility graph for rare event classification in complex system multivariate time series data by Bo Peng, Shan Gao

“…By encoding both temporal and inter-variable dependencies, the VVG facilitates the application of advanced graph neural networks, particularly the Graph Attention Network (GAT), to address the challenges of rare event classification and early detection. The proposed framework was evaluated on a real-world case study involving a pulp-and-paper manufacturing process characterized by rare paper break events. …”
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A plane strain testing apparatus characterized by flexible loading and noncontact deformation measurement and its application to the study of shear band failure of sand by Hongxiang Tang, Tao Du, Lijuan Zhang, Longtan Shao

“…It can be seen that the deformation process has three obvious stages, that is, the hardening stage, the softening stage, and the residual stage. …”
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Revolutionizing Diabetic Retinopathy Screening: Integrating AI-Based Retinal Imaging in Primary Care by Dean Beals, Lesley Simon, Faith Rogers, Stan Pogroszewski

“…Integrating AI-based DR screening with a comprehensive education and process improvement initiative in primary care practices warrants serious consideration, promising to enhance patient outcomes.…”
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