P-GELU: A Novel Activation Function to Optimize Whisper for Darija Speech Translation by Maria Labied, Abdessamad Belangour, Mouad Banane

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Research on RF Intensity Temperature Sensing based on 1D-CNN by DING Meiqi, GUI Lin, WANG Ziyi, SHANG Disen, QIAN Min, LI Qiankun

“…Then the 1D-CNN structure is designed and optimized by greedy strategy to determine the number of network layers, the size of the convolutional kernel, the size of the pooled kernel and the type of activation function. …”
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PETROGENESIS OF THE METACARBONATE AND RELATED ROCKS OF THE SILGARÁ FORMATION, CENTRAL SANTANDER MASSIF, COLOMBIAN ANDES: AN OVERVIEW OF A “REACTION CALCIC EXOSCARN” by Castellanos O.M, Gómez S.I., Ríos C.A., Ávila G.A.

“…Metacarbonate rocks (pure and impure marbles, carbonate-silicate rocks, calc-silicate rocks and carbonate-bearing silicate rocks) form a very complex group within the metamorphic sequence of the Silgará Formation at the central Santander Massif (CSM). …”
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Localization patterns of gold mineralization in the Phuoc Son area, Central Vietnam by T. Tran Van, P. A. Ignatov, T. Mai Trong

“…In this paper, the authors aim to reveal the localization patterns of gold mineralization in the Phuok Son region of Central Vietnam, which formed a Proterozoic-Cambrian metamorphic complex in the zone of the Late Paleozoic Benzhang–Queshon granite block.Aim. …”
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PortraitEmotion3D: A Novel Dataset and 3D Emotion Estimation Method for Artistic Portraiture Analysis by Shao Liu, Sos Agaian, Artyom Grigoryan

“…This advancement addresses this domain’s stylistic variations and complexity, setting a new benchmark for FER in artistic works. …”
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Multipath2.0: Extending Multilayer Reproducible Pathway Models with Omics Data by Zaynab Hammoud, Mohammad Al Maaz, Alicia D'Angelo, Frank Kramer

“…The Multipath 2.0 offers features to update the original multilayer model and integrate the corresponding nodes and edges into two additional layers referring to KEGG Genes and OMIM. Furthermore, the embedded nodes are inter- and intra-connected using interactions from the original and newly supported data sources. …”
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Optimized formulas of the gravitational field of a vertical cylindrical prism by Xiao-Le Deng, Nico Sneeuw, Dimitrios Tsoulis

“…Modeling the gravitational effects of the topography and other layers of the Earth is the basis not only for gravity corrections and reductions in geodesy but also for gravity inversions and interpretations in geophysics. …”
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Biologically inspired hybrid model for Alzheimer’s disease classification using structural MRI in the ADNI dataset by Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi

“…Classification metrics (precision, recall, F1-score) highlight the model’s ability to disentangle complex spatiotemporal patterns in neurodegeneration. …”
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Pilot study: a low-cost, point-of-care microfluidic chip for smartphone-integrated colorimetric detection using convolutional neural networks by Mithun Kanchan, Pedapudi Anantha Hari Arun, Siddhant Rakesh Chutke

“…Our proposed microfluidic device comprises of layers of adhesive poly-vinyl films with micro-wells precision-cut using a cutting printer and stacked on a glass slide. …”
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CenterNet-Elite: A Small Object Detection Model for Driving Scenario by Lingling Wang, Xiang Li, Xiaoyan Chen, Bin Zhou

“…On the other hand, small objects often appear in complex scenarios with severe occlusion and dense arrangement, further increasing the complexity and difficulty of small object detection tasks. …”
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Binarized Neural Networks for Resource-Efficient Spike Sorting by Luca M. Meyer, Majid Zamani, Andreas Demosthenous

“…In comparison to previous research, this work presents a deep binarized neural network featuring two hidden layers, each containing 256 units to effectively capture the spike characteristics of complex neural data. …”
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Reinforcing long lead time drought forecasting with a novel hybrid deep learning model: a case study in Iran by Mahnoosh Moghaddasi, Mansour Moradi, Mahdi Mohammadi Ghaleni, Zaher Mundher Yaseen

“…Abstract Drought assessment is inherently complex, particularly under the influences of climate change, which complicates long-term forecasting. …”
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The Impact of Collision Severity on Fatal Head Injuries in Road Traffic Accidents: A Postmortem Study by Ashish Kumar Singh, Sachin Kumar Tripathi, Rajiv Ratan Singh, Richa Choudhary, Pradeep Kumar Yadav

“…Understanding what contributes to head injuries in RTAs is complex, and specific factors such as the number of vehicles involved, speed, vehicle weight, and impact surface add layers of intricacy that need scrutiny. …”
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Development of a yogurt recipe using Clitoria ternatea by E. V. Razhina, E. S. Smirnova, N. L. Lopaeva, I. M. Khairova, L. M. Stakheeva, V. N. Sinko, A. V. Shilovtsev, P. S. Galushina

“…Yogurts made with the addition of ternate clitoria infusion had a layered consistency, a not entirely pleasant herbaceous taste, and some samples were characterized by a slight metallic taste. …”
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Formation of the "Self-Made-Man" Idea in the Context of the Christian Middle Ages by V. Y. Antonova, O. M. Korkh

“…All this in historical perspective was found in its radicalized and purified from all sorts of mystical and religious layers of expression in the idea of "Self-made-man".…”
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The Role of Education in Building National Soft Power: An Empirical Analysis From a Global Perspective Using Deep Neural Networks by Yun Bai

“…However, there remains a need for more sophisticated models that can accurately capture complex relationships in dynamic, real-world datasets. …”
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Optimizing Passive Thermal Enhancement via Embedded Fins: A Multi-Parametric Study of Natural Convection in Square Cavities by Saleh A. Bawazeer

“…Internal fins are commonly utilized as a passive technique to enhance natural convection, but their efficiency depends on complex interplay between fin design, material properties, and convective strength. …”
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CFTformer: End-to-End Cross-Frame Multi-Object Tracking With Transformer by Abdollah Amirkhani, Seyed Alireza Khoshnevis

“…For this model, scalable deformable-attention layers were used to design the encoder and decoder to decrease the computational cost. …”
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TFF-Net: A Feature Fusion Graph Neural Network-Based Vehicle Type Recognition Approach for Low-Light Conditions by Huizhi Xu, Wenting Tan, Yamei Li, Yue Tian

“…To address the performance degradation caused by insufficient lighting, complex backgrounds, and light interference, this paper proposes a Twin-Stream Feature Fusion Graph Neural Network (TFF-Net) model. …”
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Calcified Cavitating Mesenteric Lymph Node Syndrome: Case Presentation and Literature Review by Dipinder S Keer, Paul Jeon, Mark R Borgaonkar, Stefan Potoczny

“…Enhanced magnetic resonance (MR) imaging revealed a mixed solid and cystic multiloculated mass, with fat-fluid layers originating from the root of the small bowel mesentery. …”
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