Detection of Jihadism in Social Networks Using Big Data Techniques Supported by Graphs and Fuzzy Clustering by Cristina Sánchez-Rebollo, Cristina Puente, Rafael Palacios, Claudia Piriz, Juan P. Fuentes, Javier Jarauta

“…Then, fuzzy clustering techniques were used to classify users in profiles, with the advantage over other classifications techniques of providing a probability for each profile instead of a binary categorization. Algorithms were tested using public database from Kaggle and other Twitter extraction techniques. …”
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Diagnostic efficacy of serological and epigenetic methods of screening diagnostics of colorectal cancer by O. I. Kit, D. V. Burtsev, A. Yu. Maksimov

“…Development of adequate screening and diagnostic algorithms on colorectal cancer detection.Material and methods. …”
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A new application for reading optical form with standard scanner by using image processing techniques by Ayşe Eldem, Fatih Taha Özcan

“…The form in which the designed template will be printed on A4 paper instead of a special optical form and the system in which standard scanners will be used instead of the optical scanner, uses the image processing algorithms in the OpenCV library in the evaluation process which is an intermediate library developed in C#. …”
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Revolutionizing Education with Artificial Intelligence (AI)? Challenges, and Implications for Open and Distance Learning (ODL) by Mohd Rushidi Mohd Amin, Ismaanzira Ismail, Vinesh Maran Sivakumaran

“…This transformative technology holds the potential to revolutionize education delivery through personalized learning algorithms, adaptive learning, and intelligent tutoring systems, tailoring educational experiences to individual students. …”
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Time-variant left ventricle models for intracardiac impedance analysis by Voss Daniel, Wemmer Clara, Leonhardt Steffen, Walter Marian

“…The models, thus, provide a useful basis for the development of LVV estimation algorithms.…”
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Review on the Application of Remote Sensing Data and Machine Learning to the Estimation of Anthropogenic Heat Emissions by Lingyun Feng, Danyang Ma, Min Xie, Mengzhu Xi

“…This paper reviews the main approaches for estimating anthropogenic heat emissions. The typical algorithms of the abovementioned three methods are introduced, and their advantages and limitations are also evaluated. …”
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DESIGNING AND EFFICIENCY EFFECT OF AUTOMATIC BALL-CLEANING SYSTEM FOR CONDENSER 180-KTsS-1 OF TURBINE Т-180/210-130-1 LMZ. Part 1 by Yu. A. Zenovich-Leshkevich-Ol’pinskiy, A. Yu. Naumov, A. Yu. Zenovich-Leshkevich-Ol’pinskaya

“…The authors consider developed algorithms of data processing and designed system control of the condenser cleaning that allowed realizing its operation in automatic mode.…”
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Distributed Compressed Hyperspectral Sensing Imaging Incorporated Spectral Unmixing and Learning by Hua Xiao, Zhongliang Wang, Xueying Cui, Liping Wang, Hongsheng Yang, Yingbiao Jia

“…Compressed hyperspectral imaging is a powerful technique for satellite-borne and airborne sensors that can effectively shift the complex computational burden from the resource-constrained encoding side to a presumably more capable base-station decoder. Reconstruction algorithms play a pivotal role in compressive imaging systems. …”
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Local and Deep Features Based Convolutional Neural Network Frameworks for Brain MRI Anomaly Detection by Sajad Einy, Hasan Saygin, Hemrah Hivehch, Yahya Dorostkar Navaei

“…Extensive experiments conducted based on brain tumor in MRI image public access databases and achieves significant results compared to state-of-the-art algorithms. In addition, we discussed the effectiveness and applicability of CNNs with a variety of different features and architectures for brain abnormalities such as Alzheimer’s.…”
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Measuring transducers for optical diagnostic system with multifunctional unitary photovoltaic converters by R. I. Vorobei, O. K. Gusev, A. I. Svistun, A. K. Tyavlovsky, K. L. Tyavlovsky, L. I. Shadurskaya

“…Traditional solution of this problem lies in the field of multi-sensory systems, complex optical schemes and complex signal processing algorithms. The paper aims at the development of new measuring transducers for optical diagnostic system on a basis of multifunctional unitary photovoltaic converters built on semiconductors with low-concentration deep dopants that form multiple energy levels for different charge states in the band gap. …”
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Prediction of High-ozone Events Using GAM, SMOTE, and Tail Dependence Approaches in Texas (2005–2019) by Benjamin Brown-Steiner, Xiong Zhou, Matthew J. Alvarado, Brook T. Russell

“…We also find that the tail dependence approach is capable of predicting extreme ozone events, but algorithmic stability and configuration complexity can make this approach difficult to operationalize on a broad scale and that the selection of the threshold needs to be carefully considered. …”
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Design of a 128‐channel transceiver hardware for medical ultrasound imaging systems by Jayaraj Kidav, Perumal M. Pillai, Deepak V, Sreejeesh S. G

“…Besides, compared to the commercial open ultrasound research scanners, the flexibility to interface FPGA‐based signal processing module helps to investigate the performance of hardware realisation of various ultrasound signal processing algorithms. Moreover, the work realises a single‐board transceiver solution for multichannel ultrasound system fulfilment.…”
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Dual-Modal Approach for Ship Detection: Fusing Synthetic Aperture Radar and Optical Satellite Imagery by Mahmoud Ahmed, Naser El-Sheimy, Henry Leung

“…For SAR images, a customized Detection Transformer model, SAR-EDT, integrates advanced denoising algorithms and optimized pooling configurations. A fusion module evaluates the overlaps of detected bounding boxes based on intersection over union (IoU) metrics. …”
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Linking Animal Feed Formulation to Milk Quantity, Quality, and Animal Health Through Data-Driven Decision-Making by Oreofeoluwa A. Akintan, Kifle G. Gebremedhin, Daniel Dooyum Uyeh

“…Leveraging advanced analytical techniques, such as machine learning and optimization algorithms, have created highly accurate feed formulations tailored to specific livestock needs. …”
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A novel classification method for balance differences in elite versus expert athletes based on composite multiscale complexity index and ranking forests. by Yuqi Cheng, Dawei Wu, Ying Wu, Youcai Guo, Xinze Cui, Pengquan Zhang, Jie Gao, Yanming Fu, Xin Wang

“…We calculated the CMCI and used four machine learning algorithms-Logistic Regression, Support Vector Machine(SVM), Naive Bayes, and Ranking Forest-to combine these features and assess each participant's balance ability. …”
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A distributed scheme for energy-efficient event-based target recognition using Internet of Multimedia Things by Manal Alsabhan, Adel Soudani, Manan Almusallam

“…Some solutions presented in the literature, such as image compression, do not efficiently solve this problem because of the algorithms’ computational complexities. Thus, detecting the event of interest locally before the communication using shape-based descriptors would avoid useless data transmission and would extend the network lifetime. …”
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Fuzzy-Swarm Intelligence-Based Short-Term Load Forecasting Model as a Solution to Power Quality Issues Existing in Microgrid System by Demsew Mitiku Teferra, Livingstone M. H. Ngoo, George N. Nyakoe

“…The swarm intelligence load forecast model based on particle swarm optimization algorithms can improve the limitations of the fuzzy system and increase its forecasting performance. …”
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Machine learning models for predicting the bearing capacity of shallow foundations: A Comparative study and sensitivity analysis by Hamid Mohammadnezhad, Seyedmohammad Eslami

“…With the development of new methods such as Machine Learning (ML) algorithms in recent decades, a resolution to these challenges has been identified. …”
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Simulation-based Analysis of 20 kW PV System by Atta Ur Rehman, Imtiaz Ahmad

“…To get the most power out of the solar panel under the circumstances, algorithms like MPPT are applied. MPPT also regulates the current supplied to the battery. …”
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Echoing Mechanism of Juvenile Delinquency Prevention and Occupational Therapy Education Guidance Based on Artificial Intelligence by Fang Hou

“…Two crime type prediction algorithms based on time-crime type count vectorization and dense neural network and crime type prediction based on the fusion of dense neural network and long- and short-term memory neural network are proposed. …”
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