Inductive Power Transfer Coil Misalignment Perception and Correction for Wirelessly Recharging Underground Sensors by John Sanchez, Juan Arteaga, Cody Zesiger, Paul Mitcheson, Darrin Young, Shad Roundy

“…Furthermore, the alignment strategy presented in this work accomplishes coil misalignment correction without the need for complex sensor or coil architectures.…”
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Synthesis, Characterization, and Application of Magnetized Lanthanum (III)-Based Metal-Organic Framework for the Organic Dye Removal from Water by Fatimah Mohammed Alzahrani, Norah Salem Alsaiari, Khadijah Mohammedsaleh Katubi, Abdelfattah Amari, Mohamed A. Tahoon

“…Furthermore, due to the adaptability of its architectural form, it is a potential adsorbent material for industrial wastewater treatment uses.…”
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Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays by Nourhan Zayed, Nahed Tawfik, Mervat M. A. Mahmoud, Ahmed Fawzy, Young-Im Cho, Mohamed S. Abdallah

“…Nevertheless, the intricate architectural design of CNNs leads to significant computing requirements. …”
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Mobility Aware Spectrum Handoff in 6G-Enabled Cognitive Radio Vehicular Centralized and Ad-Hoc Networks by Shanidul Hoque, Hemanta Kumar Sahu, Mohammed Nazibul Hasan, Rajesh Saha

“…Considering <inline-formula> <tex-math notation="LaTeX">$D_{th}$ </tex-math></inline-formula> as the waiting threshold period for CU, we analyze the effect PU&#x2019;s arrival rate and <inline-formula> <tex-math notation="LaTeX">$D_{th}$ </tex-math></inline-formula> on the performance measuring metrics in two different network architectures: Cognitive Radio-Vehicular Ad-Hoc Network (CR-VANET) and Cognitive Radio-Vehicular Centralized Network (CR-VCNET). …”
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Evaluation of Steel Frame Equipped with the Replaceable Shear Link Made of Shape Memory Alloy under the Impact Load by Reza Kamgar, Seyed Ali Mahmoudy, Roham Zakavi

“…Despite their low stiffness, moment frames (MFs) are considered conventional lateral strength systems for low- and moderate-rise structures due to their ability to absorb energy and provide suitable ductility, along with architectural considerations. In return, a framed tube system with deep beams and short spans suits the high-rise structures. …”
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Leveraging Quantum LSTM for High-Accuracy Prediction of Viral Mutations by Prashanth Choppara, Bommareddy Lokesh

“…The one-hot encoding technique is a standard technique in machine learning for encoding protein sequences into data that can be used in neural networks.The proposed QLSTM outperformed existing deep learning architectures such as the Attention-Augmented Convolutional Neural Network (AACNN), Stacked Recurrent Neural Network (Stacked RNN), Retention Network (RetNet), and Bidirectional Long Short Term Memory (BiLSTM). …”
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Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection by Sofia Biju Francis, Sofia Biju Francis, Jai Prakash Verma

“…This design is based on analyses of existing deep learning architectures and feature extraction techniques. Additionally, pre-trained ResNet-18 models were created with and without the SE block to compare ROC and accuracy values across different hyperparameters.ResultsThe proposed model achieved ROC values of 95% for Alzheimer's Disease (AD), 95% for Cognitively Normal (CN), and 93% for Mild Cognitive Impairment (MCI), with a maximum test accuracy of 88.51%. …”
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The Use of Machine Learning to Support the Diagnosis of Oral Alterations by Rosana Leal do Prado, Juliane Avansini Marsicano, Amanda Keren Frois, Jacques Duílio Brancher

“…Material and Methods: The study compares three convolutional neural network (CNN) architectures for classifying histological images: EfficientNet-B3, MobileNet-V2, and VGG16. …”
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Using microscopic imaging and ensemble deep learning to classify the provenance of archaeological ceramics by Qian Wang, Xuan Xiao, Zi Liu

“…The proposed model includes the following: the construction of a dataset for ancient ceramic microscopic images, image preprocessing methods based on Gamma correction and CLAHE equalization algorithms, extraction of image features based on three deep learning architectures—VGG-16, Inception-v3 and GoogLeNet, and optimal fusion. …”
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Sustainable Building Standards in the Galapagos Islands: Definition, Simulation, and Implementation in Representative Living Labs by Jorge Torres-Barriuso, Iñigo Lopez-Villamor, Aitziber Egusquiza, Antonio Garrido-Marijuan, Ander Romero-Amorrortu, Ziortza Egiluz

“…Various representative typologies are established based on the collection of architectural, construction, and usage information. For each of these typologies, various energy models are developed to establish the baseline and to analyse the demand and comfort of the buildings under different renovation scenarios in order to validate the sustainable construction strategies to be implemented. …”
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Automated Breast Cancer Detection in Mammograms using Transfer Learningbased Deep Learning Models by Preeti Katiyar, Krishna Singh

“…An intricately designed fully connected classifier complements pretrained Convolutional Neural Network (CNN) architectures like ResNet50 and VGG16 in the proposed model. …”
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Molecular Mechanisms of Alzheimer’s Disease Induced by Amyloid-β and Tau Phosphorylation Along with RhoA Activity: Perspective of RhoA/Rho-Associated Protein Kinase Inhibitors for... by Eun Hee Ahn, Jae-Bong Park

“…Other brain cells, such as astrocytes, microglia, and oligodendrocytes, also depend on specific cytoskeletal structures to maintain their unique cellular architectures. Thus, the aberrant regulation of Rho GTPases activity can disrupt actin filaments, leading to altered cell morphology, including changes in neuronal processes and synapses, and potentially contributing to brain diseases such as AD.…”
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Daedalus Mega-ichnosites: The Armorican Quartzite Bridge between Villuercas-Ibores-Jara and Naturtejo UNESCO Global Geoparks by Carlos Neto de Carvalho, Andrea Baucon, Ivan Cortijo, Soren Jensen, Jose Maria Barrera, Javier Lopez Caballero

“…Daedalus producers were responsible for the occupation of some of the earliest deep substrate tiers, probably feeding from particulate organics and meiofauna using complex architectures for resource exploitation. They were responsible for characteristic ichnofabrics that can be found, especially in Lower-to-Middle Ordovician sandstones, in the “Armorican Quartzite” and similar nearshore facies around Gondwana. …”
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Structure of the Pseudomonas aeruginosa PAO1 Type IV pilus. by Hannah Ochner, Jan Böhning, Zhexin Wang, Abul K Tarafder, Ido Caspy, Tanmay A M Bharat

“…Comparison of the P. aeruginosa PAO1 T4P with T4P structures from other organisms, both at the level of the pilin subunits and the fully assembled pili, confirms previously described common architectural principles whilst highlighting key differences between members of this abundant class of prokaryotic filaments. …”
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Optimizing demand response and load balancing in smart EV charging networks using AI integrated blockchain framework by Arvind R. Singh, R. Seshu Kumar, K. Reddy Madhavi, Faisal Alsaif, Mohit Bajaj, Ievgen Zaitsev

“…Abstract The integration of Electric Vehicles (EVs) into power grids introduces several critical challenges, such as limited scalability, inefficiencies in real-time demand management, and significant data privacy and security vulnerabilities within centralized architectures. Furthermore, the increasing demand for decentralized systems necessitates robust solutions to handle the growing volume of EVs while ensuring grid stability and optimizing energy utilization. …”
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Pyrolysis conversion of crown-ether-based covalent networks to kagome metal-organic frameworks on Au(111) and Ag(111) by Yifan Liang, Jianing Wang, Ruoting Yin, Zhengya Wang, Xiaoqing Wang, Jie Meng, Shijing Tan, Chuanxu Ma, Qunxiang Li, Bing Wang

“…On-surface chemistry provides an efficient approach to construction of diverse covalent architectures with atomic precision, ranging from one-dimensional chains and ribbons to two-dimensional covalent organic frameworks (COFs) and metal-organic frameworks (MOFs) on coinage metal substrates. …”
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On Entropy Measures and Eccentricity-Based Descriptors of Polyamidoamine (PAMAM) Dendrimers by Zhi-Hao Hui, Asfand Fahad, Muhammad Imran Qureshi, Rida Irfan, Aneesa Shireen, Zahid Iqbal, Rahma Alyusufi

“…On the other hand, dendrimers came out as unique polymeric macromolecules because of extensively branched three-dimensional architectural characteristics. This structure design prepares for various unique properties of dendrimers, including monodispersity, multivalency, uniform size, globular shape, water solubility with hydrophobic internal cavities, and a high degree of branching. …”
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Hierarchical Recognition for Urban Villages Fusing Multiview Feature Information by Zhenkang Wang, Nan Xia, Song Hua, Jiale Liang, Xiankai Ji, Ziyu Wang, Jiechen Wang

“…The deep-learning method was applied to SVI to capture the architectural feature at each viewpoint. The rule-constrained fusion was conducted to combine the block-level and point-level UV recognition results. …”
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Identification and Correction of Abnormal, Incomplete Power Load Data in Electricity Spot Market Databases by Jingjiao Li, Yifan Lv, Zhou Zhou, Zhiwen Du, Qiang Wei, Ke Xu

“…Nevertheless, single network architectures struggle to adapt to the diverse load characteristics of distribution networks or users, hindering the effective capture of anomaly patterns. …”
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A comprehensive evaluation of deep vision transformers for road extraction from very-high-resolution satellite data by Jan Bolcek, Mohamed Barakat A. Gibril, Rami Al-Ruzouq, Abdallah Shanableh, Ratiranjan Jena, Nezar Hammouri, Mourtadha Sarhan Sachit, Omid Ghorbanzadeh

“…Transformer-based semantic segmentation architectures excel in extracting road networks from very-high-resolution (VHR) satellite images due to their ability to capture global contextual information. …”
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