Enhanced sensor web services by incorporating IoT interface protocols and spatio-temporal data streams for edge computing-based sensing by Dong Chen, Shaoju Wang, Chao Wang, Xiang Zhang, Nengcheng Chen

“…Compared with cloud-based architectures, this approach significantly improves resource accessibility and real-time processing. …”
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Operational Modal Analysis and the Performance Assessment of Vehicle Suspension Systems by L. Soria, B. Peeters, J. Anthonis, H. Van der Auweraer

“…In the paper two suspension architectures are considered equipping the same car type. …”
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Leveraging multiplexed metasurfaces for multi-task learning with all-optical diffractive processors by Behroozinia Sahar, Gu Qing

“…However, most existing DNN architectures are optimized for single tasks and thus lack the flexibility required for the simultaneous execution of multiple tasks within a unified artificial intelligence platform. …”
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Intelligent On/Off Dynamic Link Management for On-Chip Networks by Andreas G. Savva, Theocharis Theocharides, Vassos Soteriou

“…Networks-on-chips (NoCs) provide scalable on-chip communication and are expected to be the dominant interconnection architectures in multicore and manycore systems. Power consumption, however, is a major limitation in NoCs today, and researchers have been constantly working on reducing both dynamic and static power. …”
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A Federated Learning Framework for Enhanced Data Security and Cyber Intrusion Detection in Distributed Network of Underwater Drones by Mansahaj Singh Popli, Rudra Pratap Singh, Navneet Kaur Popli, Mohammad Mamun

“…Furthermore, FL’s decentralized architectures inherently aligns with the dynamic and distributed nature of underwater drone networks. …”
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All‐Inorganic Perovskite Quantum‐Dot Optical Neuromorphic Synapses for Near‐Sensor Colored Image Recognition by Yung‐Chi Yao, Chia‐Jung Lee, Yong‐Jun Chen, Jun‐Zhi Feng, Hongseok Oh, Chin‐Shan Lue, Jinn‐Kong Sheu, Ya‐Ju Lee

“…Abstract As the demand for the neuromorphic vision system in image recognition experiences rapid growth, it is imperative to develop advanced architectures capable of processing perceived data proximal to sensory terminals. …”
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Visual Feedback System Supporting Robotic Manipulation of Hemp Plants by Marek Kraft, Bartosz Ptak, Mateusz Piechocki, Dominik Pieczyński, Kamil Młodzikowski, Bartłomiej Kulecki, Dominik Belter

“…Fast operation is necessary for effective real-time feedback in robotic grasping tasks. Among tested architectures, the integration of UNet with ResNet50 was found to provide a good trade-off between detection precision and operational speed on edge AI devices. …”
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Evaluating network test scenarios for network simulators systems by Anis Zarrad, Izzat Alsmadi

“…The goal of this work is first to compare and assess the performance of three prominent network simulators—NS-2, NS-3, and OMNet++—by considering the following qualitative characteristics: architectural design, correctness, performance, usability, features, and trends. …”
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Influence of multi gradient modulus interface layer constructed by flexible PI nanolayer modified carbon fiber surface on the mechanical properties of epoxy based composites by Tiantian Li, Ge Yu, Weipeng Huang, Yiling Chen, Yanchao Zhu, Ce Liang

“…In conclusion, this work provides a feasible method for constructing novel gradient modulus interfacial layers with nanostructured rigid-flexible architectures in ER, offering new insights for designing next-generation advanced composites.…”
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Facial Emotion Recognition and Classification Using the Convolutional Neural Network-10 (CNN-10) by Emmanuel Gbenga Dada, David Opeoluwa Oyewola, Stephen Bassi Joseph, Onyeka Emebo, Olugbenga Oluseun Oluwagbemi

“…Earlier studies have developed different deep learning architectures to offer solutions to the challenge of facial expression recognition. …”
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Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images by Avigyan Roy, Priyam Saha, Nandita Gautam, Friedhelm Schwenker, Ram Sarkar

“…Imaging tests on different image modalities such as Histopathology images, provide valuable insights into the cellular and architectural features of tissues, allowing pathologists to make diagnosis, determine disease stages, and guide treatment decisions. …”
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A comprehensive evaluation of ai techniques for air quality index prediction: RNNs and transformers by Pablo Andrés Buestán Andrade, Pedro Esteban Carrión Zamora, Anthony Eduardo Chamba Lara, Juan Pablo Pazmiño Piedra

“…The research compares traditional RNN models, including Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks, with advanced Transformer architectures. Data were collected from a weather station in Cuenca, Ecuador, focusing on key pollutants such as CO, NO2, O3, PM2.5, and SO2. …”
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Compensating CBCT Motion Artifacts with Any 2D Generative Model by Yipeng Sun, Linda-Sophie Schneider, Mingxuan Gu, Siyuan Mei, Siming Bayer, Andreas K. Maier

“…This model-independent framework accommodates various 2D architectures while effectively addressing the limitations of treating 3D volumes as independent 2D slices. …”
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CR-DEQ-SAR: A Deep Equilibrium Sparse SAR Imaging Method for Compound Regularization by Guoru Zhou, Yixin Zuo, Zhe Zhang, Bingchen Zhang, Yirong Wu

“…However, the single regularization cannot entirely capture the features of complex observation scenes, and network architectures based on iterative unfolding often face memory and numerical precision constraints during training. …”
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A Topological Approach to Enhancing Consistency in Machine Learning via Recurrent Neural Networks by Muhammed Adil Yatkin, Mihkel Kõrgesaar, Ümit Işlak

“…These assessments show the ability of the proposed method, which involves restructuring the mathematical structure and extending conventional RNN architectures, to provide reliable and consistent estimates for complex time series data.…”
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STREAMING MICROSCOPIC IMAGE DATA TO THE CLOUD STORAGE FOR DETECTION OF ACUTE LYMPHOBLASTIC LEUKEMIA USING CNN by P. Kravchenko, I. Burlachenko

“…Research into the creation of low-cost devices and the creation of neural network architectures that can control the process of analysis and disease detection. …”
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Optimized sequential model for superior classification of plant disease by Yogesh Chimate, Sangram Patil, K. Prathapan, Jaydeep Patil, Jayendra Khot

“…To recover from this and, address these challenges, this study explores deep learning, specifically Convolutional Neural Networks (CNN), as a means to enhance the accuracy and efficiency of plant disease detection. Deep learning architectures, like convolutional neural network, can autonomously learn and extract complicated characteristics and patterns from huge datasets. …”
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Numerical Design of Ultrathin Hydrogenated Amorphous Silicon-Based Solar Cell by F. X. Abomo Abega, A. Teyou Ngoupo, J. M. B. Ndjaka

“…The aim of this work is to present how to simulate ultrathin hydrogenated amorphous silicon- (a-Si:H-) based solar cells with a ITO BRL in their architectures. The results obtained in this study come from SCAPS-1D software. …”
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FSB-DReViSeR: Flow Splitting-Based Dynamic Replacement of Virtual Service Resources for Mobile Users in Virtual Heterogeneous Networks by Jean Frédéric Myoupo, Vianney Kengne Tchendji, Yannick Florian Yankam, Joël Casimir Tagne

“…These variations in requirements are traditionally known as the architectural flexibility of virtual networks. Each virtual service is provided through a server called a virtual service resource. …”
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Intelligent methods for natural data analysis: application to space weather by O.V. Mandrikova

“…The paper also considers ways to combine threshold wavelet filtering with neural networks of the NARX and Autoencoder architectures. Schemes for the implementation of such approaches in the problems of detecting space weather anomalies are proposed. …”
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