Convolutional Neural Networks for Direction of Arrival Estimation Compared to Classical Estimators and Bounds by Christopher J. Bell, Kaushallya Adhikari, Andrew Brown

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Geospatial Modelling for Estimation of PM2.5 Concentrations in Two Megacities in Peninsular India by V. P. Lavanyaa, S. Varshini, Souvik Sankar Mitra, Kiran M. Hungund, Rudrodip Majumdar, R. Srikanth

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Phenology analysis for detection of vegetation changes based on Landsat 8 images in Nature Park Kopački rit, Croatia by Radočaj Dorijan, Plaščak Ivan, Jurišić Mladen, Majić Ivana, Ozimec Siniša, Sarajlić Ankica, Rožac Vlatko

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Efectos de saltos inesperados en el gasto público y variables demográficas en el crecimiento económico. El caso mexicano con un enfoque GARCH con saltos (1936-2012) by Claudia Estrella Castillo-Ramírez, Francisco Venegas-Martínez, Francisco López-Herrera

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Xception ile Histopatolojik Görüntülerden Oral Kanser Teşhisi by Cihan Akyel

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Outcomes of Type I Tympanoplasty using a Cartilage Shield Graft by Murad Ghazi Ahmed, Said M. Said Aljaff, Hiwa Asaad Abdulkareem

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Drug-Induced Liver Injuries (Clinical Guidelines for Physicians) by Vladimir T. Ivashkin, Andrey Yu. Baranovsky, Karina L. Raikhelson, Lyudmila K. Palgova, Marina V. Maevskaya, Elina A. Kondrashina, Natalya V. Marchenko, Tatyana P. Nekrasova, Igor G. Nikitin

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Evaluation of Efficacy of Artificial Intelligence in Orthopantomogram in Detecting and Classifying Radiolucent Lesions by Sheetal Singar, Ajay Parihar, Prashanthi Reddy

“…CNN-II showing sensitivity for classification of the benign lesion is 70% and for classification of the malignant lesion is 63.3% with overall classification sensitivity is 66.6%. …”
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cigFacies: a massive-scale benchmark dataset of seismic facies and its application by H. Gao, X. Wu, X. Sun, M. Hou, M. Hou, H. Gao, G. Wang, H. Sheng

“…</a>, <a href="#bib1.bibx5">2024</a><a href="#bib1.bibx5">a</a></span>), the trained model, and the associated codes (<a href="https://doi.org/10.5281/zenodo.13150879">https://doi.org/10.5281/zenodo.13150879</a>, <span class="cit" id="xref_altparen.2"><a href="#bib1.bibx6">Gao et al.</a>, <a href="#bib1.bibx6">2024</a><a href="#bib1.bibx6">b</a></span>) publicly available for further research and validation of intelligent seismic facies classification.…”
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Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range) by Behnam Sedaghat, Ali Javadzade khiavi, Babak Naeim, Erfan Khajavi, Amir Reza Taghavi Khanghah

“…The results revealed that the object-oriented classification method exhibited a general accuracy of 92%, outperforming the pixel-based method, which achieved a general accuracy of 81.6%. …”
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Klasifikasi Sinyal Phonocardiogram Menggunakan Short Time Fourier Transform dan Convolutional Neural Network by Muhammad Alwi Adnan Amal, Dodi Zulherman, Rahmat Widadi

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Breast cancer ultrasound image segmentation using improved 3DUnet++ by Saba Hesaraki, Abdul Sajid Mohammed, Mehrshad Eisaei, Ramin Mousa

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Komparasi Metode Klasifikasi untuk Deteksi Ekspresi Wajah Dengan Fitur Facial Landmark by Fitra A. Bachtiar, Muhammad Wafi

“…Meanwhile, time computation takes 6.97 10-3 seconds.       …”
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A method of EEG signal feature extraction based on hybrid DWT and EMD by Xiaozhong Geng, Linen Wang, Ping Yu, Weixin Hu, Qipeng Liang, Xintong Zhang, Cheng Chen, Xi Zhang

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Forecasting mental states in schizophrenia using digital phenotyping data. by Thierry Jean, Rose Guay Hottin, Pierre Orban

“…The CrossCheck dataset includes 6,364 mental state surveys using 4-point ordinal rating scales and 23,551 days of smartphone sensor data contributed by patients with schizophrenia. …”
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A deep learning-based method for the intelligent identification of the quantity of coals flushed out during borehole hydraulic flushing by Xiaojun LI, Mingyang ZHAO, Miao LI

“…Results and Conclusions The results indicate that, compared to the original algorithm, the improved YOLOv8n algorithm increased the mean average classification accuracy, recall, and precision by 7.6%, 3.5%, and 6.4%, respectively. …”
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Klasifikasi Ulasan Palsu Menggunakan Borderline Over Sampling (BOS) dan Support Vector Machine (SVM) (Studi Kasus : Ulasan Tempat Makan) by Aisyah Awalina, Fitra Abdurrachman Bachtiar, Indriati Indriati

“…However, many of these spam review datasets are imbalanced and thus may affect classification results. In this study, BOS algorithm was used to overcome data imbalances, and SVM algorithm for the classification of spam reviews. …”
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Research on algorithm for improving imaging accuracy of CFRP low speed impact damage by WU Xiangnan, CHENG Xiaojin, LI Qixin, SHANG Jianhua

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Multidimensional analogs of A. Bicardze system by Eugenijus Paliokas

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