Fast and accurate deep learning scans for signatures of natural selection in genomes using FASTER-NN by Sjoerd van den Belt, Nikolaos Alachiotis

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Existence of Positive Solutions for a Class of px,qx-Laplacian Elliptic Systems with Multiplication of Two Separate Functions by Youcef Bouizem, Salah Mahmoud Boulaaras, Ali Allahem

“…The paper deals with the study of the existence of weak positive solutions for a new class of the system of elliptic differential equations with respect to the symmetry conditions and the right hand side which has been defined as multiplication of two separate functions by using the sub-supersolutions method (1991 Mathematics Subject Classification: 35J60, 35B30, and 35B40).…”
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Determining The Ripeness Level Of Crystal Guava Fruit Using Backpropagation Neural Network by Shofia Nabila Azzahra, Ahmad Kamsyakawuni, Abduh Riski

“…There are 140 fruit image data with 35 data for each ripeness category. Each image will be processed with median filter, cropping and segmentation. …”
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Cytokines in Preterm Delivery: Proposal of a New Diagnostic Algorithm by Grzegorz Raba, Jacek Tabarkiewicz

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Declassifying Myrmecophily in the Coleoptera to Promote the Study of Ant-Beetle Symbioses by Glené Mynhardt

“…The symbiotic associations between beetles and ants have been observed in at least 35 beetle families. Among myrmecophiles, beetles exhibit the most diverse behavioral and morphological adaptations to a life with ants. …”
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Logic Structure of Means Used for Higher Dynamic Stability of Power Transmission Systems by G. E. Pospelov

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Tracking of Gymnast’s Limb Movement Trajectory Based on MEMS Inertial Sensor by Peng Li, Jihe Zhou

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Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition by Sajid Ali Khan, Ayyaz Hussain, Abdul Basit, Sheeraz Akram

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Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang by Sutarman, Rimbun Siringoringo, Dedy Arisandi, Edi Kurniawan, Erna Budhiarti Nababan

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Monitoring the surface temperature and studying the land use relationship with surface temperature using OLI and TM image sensors (Case study: Meshginshahr city) by musa abedin, Ehsan Ghale, nazfar aghazadeh, maryam mohamadzadeh sheshegaran

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Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects by In-Kyu Jeong, Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim, Jeong-Min Ha, Byeong-Keun Choi

“…The proposed comprehensive bearing fault diagnosis methodology is effective for accurate bearing fault diagnosis, yielding an average classification accuracy of 90.35%. In this paper, the proposed EDET specifically addresses shortcomings in the conventional distance evaluation technique (DET) by accurately estimating the sensitivity of each fault signature for each class. …”
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Pleasant/Unpleasant Filtering for Affective Image Retrieval Based on Cross-Correlation of EEG Features by Keranmu Xielifuguli, Akira Fujisawa, Yusuke Kusumoto, Kazuyuki Matsumoto, Kenji Kita

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The variation in the number of roots and canals morphology of permanent mandibular first molar teeth by using cone beam computed tomography imaging in a sample of Erbil city by Hassan Ali Mahmoyd Albarzanji, Alaa Muhamed Sadiq Muhamed Jamil

“…Conclusion: The prevalence of extra root was about 3.5% in distal root. Wein’s type I the most prevalent configurations in distal root and type III Wein’s in the mesial root of the first mandibular molars. …”
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Three-Dimensional Pseudomanifolds on Eight Vertices by Basudeb Datta, Nandini Nilakantan

“…There are 74 such 3-pseudomanifolds, 39 of which triangulate the 3-sphere and other 35 are not combinatorial 3-manifolds. These 35 triangulate six distinct topological spaces. …”
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Designing Of Pulse Phase-Locked Loops by A. A. Deryushev, I. L. Svito, M. S. Shmakov

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Towards AI-Assisted Mapmaking: Assessing the Capabilities of GPT-4o in Cartographic Design by Abdulkadir Memduhoğlu

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Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors by David Camarena-Martinez, Martin Valtierra-Rodriguez, Arturo Garcia-Perez, Roque Alfredo Osornio-Rios, Rene de Jesus Romero-Troncoso

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Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer by Neha Sharma, Hari Om

“…Finally, the performance of the PNN/GRNN model is compared with that of other classification models. The classification accuracy of PNN/GRNN model is 80% and hence is better for early detection and prevention of the oral cancer.…”
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World Religions in the World by David Chidester

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Bismuth as Smart Material and Its Application in the Ninth Principle of Sustainable Chemistry by Ayodele Temidayo Odularu

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