3D tooth identification for forensic dentistry using deep learning by Hamza Mouncif, Amine Kassimi, Thierry Bertin Gardelle, Hamid Tairi, Jamal Riffi

“…The 2D images are subsequently processed using a recurrent neural network (RNN) architecture, which effectively detects complex patterns essential for accurate classification, while its capability to manage sequential data is further augmented by fully connected layers specifically designed for this purpose. …”
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Predictive maintenance in naval vessel propulsion systems for enhanced marine operations using a BiGMM-HMM framework with divergence-based clustering by Farshid Javadnejad, Hyoshin John Park, Samuel Kovacic, Andres Sousa-Poza

“…The framework effectively manages multimodal sensor data by leveraging a unique combination of Gaussian Mixture Models (GMMs) and Hidden Markov Models (HMMs) in a bidirectional architecture. It analyses the dynamic interactions between sensors and subsystems. …”
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OpticalTrust: A Sensor-to-Blockchain Framework Using Free-Space Optical Communication by Parveen Bajaj, Aman Kataria, Vikram Puri, Sachin Gupta, Hong Min

“…To enhance data security and reliability, a blockchain architecture is incorporated with smart contracts and an InterPlanetary File System (IPFS) for storing and validating results generated from FSOs simulation. …”
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Dual Branch Encoding Feature Aggregation for Cloud and Cloud Shadow Detection of Remote Sensing Image by Naikang Shi, Haifeng Lin, Huiwen Ji, Min Xia

“…To tackle these challenges, this study introduces a dual-path neural network framework that synergistically combines convolutional neural networks (CNNs) and architectures. By capitalizing on their complementary strengths, this work proposed a dual-branch feature extraction architecture that utilizes two different feature aggregation modes to effectively aggregate features of CNN and Transformer at different levels. …”
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Heart schwannoma by I. M. Iljinsky, A. S. Ivanov, N. P. Mozheiko, M. K. Lugovskiy

“…Antoni identified two types of tumors depending on the type of cellular architecture (type A and type B). Type A consists of spindle-shaped cells in the form of bundles, and type B consists of polygonal cells with abundant cytoplasm and they are not tightly arranged. …”
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P11 | DOMINO TRANSPLANTATION IN MNGIE: IS THE LIVER A SUITABLE GRAFT?

“…FFPE sections were used to evaluate tissue architecture, fibrosis, hypoxia, immune activation, and mtDNA depletion. …”
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Green infrastructure codesign from phenomenology: Proposal for small villages in semiarid agricultural lands by Liliana Pérez-Sánchez, Lina Ojeda-Revah, Cristina Barrientos-Durán, Ileana Espejel

“…Concepts such as quality of life, landscape architecture, rural planning, codesign, and GI were addressed in the interviews. …”
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AI ACT AND THE ECHO OF ASIMOV'S LAWS OF ROBOTICS. WHEN THE LACK OF LEGAL SOURCES PUSHED THE EU TOWARDS SCIENCE FICTION by Sebastian BĂLĂNICĂ, Bogdan-Alin CIOFLAN

“…The primary objective of this study is to analyze the resonance between Asimov’s fictional ethical framework and the normative architecture of the AI Act. To achieve this, we employ a qualitative legal research methodology, using comparative textual analysis of the AI Act alongside Asimov’s literary works and relevant policy documents. …”
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Improving early detection of Alzheimer’s disease through MRI slice selection and deep learning techniques by Begüm Şener, Koray Açıcı, Emre Sümer

“…The results obtained with these methods emphasize the importance of developing deep learning models with slice selection integrated with the Vision Transformers architecture. Focusing on accurate slice selection enables early detection of Alzheimer’s at the EMCI stage, allowing for timely interventions and preventive measures before the disease progresses to more advanced stages. …”
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The Rapid Detection of Foreign Fibers in Seed Cotton Based on Hyperspectral Band Selection and a Lightweight Neural Network by Yeqi Fei, Zhenye Li, Dongyi Wang, Chao Ni

“…The proposed attention-enhanced CNN architecture achieves a 99.75% classification accuracy with real-time processing at 12.201 μs per pixel, surpassing the full-spectrum models by 11.57% in its accuracy while drastically reducing the processing time from 370.1 μs per pixel. …”
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Assessing the Quality of Urban environment using disturbance measurement method (Case study: Chadegan City) by Behshad Deihim, Mahin Nastaran

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Intracristal space proteome mapping using super-resolution proximity labeling with isotope-coded probes by Myeong-Gyun Kang, Sanghee Shin, Dong-Gi Jang, Ohyeon Kwon, Song-Yi Lee, Pratyush Kumar Mishra, Minkyo Jung, Ji Young Mun, Jung-Min Kee, Jong-Seo Kim, Hyun-Woo Rhee

“…Using this technique, we identify the spatial proteomic architecture of the mitochondrial intracristal space (ICS), which is not physically separated from the peripheral space. …”
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Short Text Classification Based on Enhanced Word Embedding and Hybrid Neural Networks by Cunhe Li, Zian Xie, Haotian Wang

“…To improve the performance of short text classification, this paper proposes a Word2Vec-based enhanced word embedding method and exhibits the design of a dual-channel hybrid neural network architecture to effectively extract semantic features. …”
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PolicySegNet: a policy-based reinforcement learning framework with pretrained embeddings and transformer decoder for joint brain tumors segmentation and classification in MRI by Vishv Patel, Vandana Patel, Aakash Shinde

“…Abstract PolicySegNet is a novel hybrid deep learning architecture developed for joint brain tumor segmentation and classification using MRI scans. …”
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Material and method selection for increasing the wear resistance of construction machines components by A. P. Scherbakov

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ANN-Enhanced Modulated Model Predictive Control for AC-DC Converters in Grid-Connected Battery Systems by Andrea Volpini, Samuela Rokocakau, Giulia Tresca, Filippo Gemma, Pericle Zanchetta

“…This paper presents a lightweight physics-informed neural network (PINN) framework tailored for VRFBs, which directly embeds the discrete-time state-space dynamics into the network architecture. The model simultaneously predicts terminal voltage and estimates five discrete-time physical parameters associated with RC dynamics and internal resistance, while avoiding hidden layers to enhance interpretability and computational efficiency. …”
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Integrated 3D Methodologies for the Survey of Archaeological Heritage by Maria Grazia Cianci, Daniele Calisi, Stefano Botta, Sara Colaceci, Mara Pontisso, Simone Quilici, Clara Spallino

“…<br />The research presented derives from a scientific collaboration agreement between the Appia Antica Archaeological Park, the Department of Architecture at Roma Tre University, the Department of Humanities, Philosophical Studies, and History of Art at Tor Vergata University, aimed at study, survey and monumental analysis of the mausoleum.…”
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Rationalization of diagnostic examination periods for metalwork elements of subway escalators by V. N. Dyatlov, D. P. Kononov

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Ni-MOF nanoflowers as photocatalyst for carbon-dioxide conversion to solar fuels by Nandha Kumar Sundarraj, Dhivya Sundar, Abdullah Al Souwaileh, Jerry J. Wu, Ramalinga Viswanathan Mangalaraja, Andrea Sorrentino, Sambandam Anandan

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Exploring the 15-Minutes City Concept: Global Challenges and Opportunities in Diverse Urban Contexts by Asifa Iqbal, Humaira Nazir, Ammad Waheed Qazi

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