A multi-model approach for distance and angle estimation using a custom-designed tag by Emre Erkan

“…In the second stage, the data obtained is analyzed through a MLP to predict distances and angular values. The performance of the proposed algorithm has been evaluated through experiments simulating real-world applications, yielding reliable results. …”
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Application of Artificial Intelligence in Tinnitus Diagnosis and Treatment: A Pilot Study by Yu Wang, Kaixiang Pan, Richard Tyler, Zhaoyi Lu, Shan Xiong, Yufei Xie, Tao Pan

“…We describe the curation of the input data, the algorithm (CTGan) used to extend the dataset, and the ML model (Random Forest) to predict each of the suggested treatments. …”
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A Recommendation System Based on Regression Model of Three-Tier Network Architecture by Wang Bailing, Huang Junheng, Zhu Dongjie, Hou Xilu

“…The correlation score is used to predict the test user preference for the test item. …”
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Learning Quantum Processes with Quantum Statistical Queries by Chirag Wadhwa, Mina Doosti

“…For the former, we present an efficient average-case algorithm along with a nearly matching lower bound with respect to the number of observables to be predicted. …”
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BLSTM based night-time wildfire detection from video. by Ahmet K Agirman, Kasim Tasdemir

“…Moreover, to pave the way for more targeted solutions to this challenging problem, experiment-based thorough investigations of possible sources of incorrect predictions and discussion of the unique nature of night-time wildfire videos are presented in the paper.…”
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Determination of the location of sonic boom by Rufin MAKAREWICZ

“…For general case (at arbitrary manoeuvring of aircraft) a procedure algorithm has been defined which permits to predict the boundary of audibility area. …”
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Control Theory and Bayesian Networks for Black Spots Study by Leonardo Flores, Jorge Vargas, Alan Ayala, Jeremy Ramos, Edwin Salas

“…To measure the performance and recovery of an urban road network, it is necessary to identify and predict the locations on the network where they occur. …”
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Panel Method for 3D Inviscid Flow Simulation of Low-Pressure Compressor Rotors with Tip-Leakage Flow by Valentin Caries, Jérôme Boudet, Eric Lippinois

“…This paper presents a low-order three-dimensional approach for predicting the inviscid flow around low-pressure compressors. …”
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Infrared Small Target Detection via Modified Fast Saliency and Weighted Guided Image Filtering by Yi Cui, Tao Lei, Guiting Chen, Yunjing Zhang, Gang Zhang, Xuying Hao

“…After that, utilizing the fuzzy sets technique, the background image is predicted reasonably according to the results of the saliency map and smoothed or non-smoothed images. …”
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Evidence for preferred propagating terrestrial heatwave pathways due to Rossby wave activity by Mingzhao Wang, Yu Huang, Christian L. E. Franzke, Naiming Yuan, Zuntao Fu, Niklas Boers

“…Abstract Terrestrial heatwaves are prolonged hot weather events often resulting in widespread socioeconomic impacts. Predicting heatwaves remains challenging, partly due to limited understanding of the events’ spatial evolution and underlying mechanisms. …”
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Depth and Lineament Maps Derived from North Cameroon Gravity Data Computed by Artificial Neural Network by Marcelin Mouzong Pemi, Joseph Kamguia, Severin Nguiya, Eliezer Manguelle-Dicoum

“…In this work, Artificial Neural Networks (ANNs) are implemented using Levenberg-Marquardt algorithm (LMA) to construct a background density model for predicting gravity data across Northern Cameroon and its surroundings. …”
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Approximation-Aware Training for Efficient Neural Network Inference on MRAM Based CiM Architecture by Hemkant Nehete, Sandeep Soni, Tharun Kumar Reddy Bollu, Balasubramanian Raman, Brajesh Kumar Kaushik

“…This architecture includes a mapping algorithm that modulates inputs and map AFC to crossbar arrays directly, eliminating the need to predict approximated weights for evaluating output. …”
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Modeling of a Tethered Testbed for a VTVL Vehicle by Marco Sagliano, Stephan Theil, Johanna Schramm, Matthias Schwarzwald

“…This paper proposes an algorithm for modeling a three-dimensional tethered environment for testing vertical-take off, vertical landing vehicles. …”
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Detection of multiple pesticide residues on the surface of broccoli based on hyperspectral imaging by GUI Jiangsheng, GU Min, WU Zixian, BAO Xiao’an

“…To increase efficiency of the model and reduce the redundancy of the hyperspectral image, using the principal component analysis (PCA) algorithm and successive projection algorithm (SPA) for feature extraction. …”
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Evaluating a Procedural Content Orchestrator Gameplay Data and Classifying User Profiles by Leonardo Tórtoro Pereira, T. Yuji Teoi, Claudio Fabiano Motta Toledo

“…Our extended results suggest that we can predict player’s profiles through gameplay metrics and data augmentation, even for small samples. …”
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The Prognostic Value of Serum HBV-RNA during Hepatitis B Virus Infection is Related to Acute-on-Chronic Liver Failure by Keli Qian, Ying Xue, Hang Sun, Ting Lu, Yixuan Wang, Xiaofeng Shi

“…A nomogram was developed to formulate an algorithm incorporating serum HBV-RNA for predicting the survival of HBV-ACLF patients. …”
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Comparative performance of deep learning architectures for diabetic peripheral neuropathy detection using corneal confocal microscopy: a retrospective single-centre study by Yuyang Deng, Wenqu Chen, Weihuang Xu, Jianzhang Hu

“…For single-image predictions in the three-class classification task of CCM images, the InceptionV3 model achieved a precision of 0.8385, a recall of 0.9083, an F1 score of 0.8720 and an AUC of 0.8769 for predicting DPN+.Conclusions The InceptionV3-based DLA model achieved superior performance compared with traditional convolutional neural network architectures like ResNet and DenseNet, and the Swin transformer model, highlighting its potential for effective DPN screening.…”
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Crowdsourced data leaking user's privacy while using anonymization technique by Naadiya Mirbahar Mirbahar, Kamlesh Kumar, Asif Ali Laghari, Mansoor Ahmed Khuhro

“…Five supervised standard learning algorithm classifiers have been utilized to predict the user identity i.e., Extra Tree, Bagging, Decision Tree, Nearest Neighbor (KNN), and Random Forest Tree classifiers. …”
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Corruption through the prism of the theory of national security by S. M. Inshakov

“…Scientific novelty: for the first time, the paper examines the fundamental strategies of social corruption counteraction and their typology, analyzes the algorithm of state corruption counteraction, the factors of corruption counteraction efficiency, and predicts the prospects of anti-corruption activities of state bodies and civil society.Practical significance: the main provisions and conclusions of the article can be used in scientific and educational activities in considering the issues related to corruption counteraction.…”
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Optimal Scheduling Strategy of Newly-Built Microgrid in Small Sample Data-Driven Mode by CHEN Shi, YANG Linsen, LIU Yihong, LUO Huan, ZANG Tianlei, ZHOU Buxiang

“…Newly built microgrids lack historical operation data, making it challenging to predict renewable power output accurately using conventional data-driven methods, which in turn affects the accuracy of scheduling plans. …”
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