Research on side-channel attacks and defense methods for IoT devices by HE Lesheng, FENG Yi, YUE Yuankang, YANG Chongyu, HU Chonghui

“…Internet of things (IoT) devices are typically implemented using microcontrollers with limited computational capabilities, which necessitate the use of lightweight symmetric encryption algorithms to ensure data security. …”
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SineKAN: Kolmogorov-Arnold Networks using sinusoidal activation functions by Eric Reinhardt, Dinesh Ramakrishnan, Sergei Gleyzer

“…The general KAN framework uses learnable activation functions on the edges of the computational graph followed by summation on nodes. The learnable edge activation functions in the original implementation are basis spline functions (B-Spline). …”
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What Circulates on Partisan WhatsApp in India? Insights from an Unusual Dataset by Simon Chauchard, Kiran Garimella

“…Additional matching of this data with other sources and analyses based on computer vision techniques inturn allows us to evaluate the extent to which the content posted on WhatsApp threads may serve the interests of the ruling party. …”
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Ensemble learning driven Kolmogorov-Arnold Networks-based Lung Cancer classification. by Abdul Rahaman Wahab Sait, Eid AlBalawi, Ramprasad Nagaraj

“…Positron Emission Tomography / Computed Tomography (PET / CT) images are utilized to comprehend the metabolic and anatomical data, leading to optimal LC diagnosis. …”
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A Study of Gallstones Disease incidence in Babylon's Province population by Mahmoud Al-Mukhtar

“…It also attempts to identify and evaluate the predisposing risk factors associated with this disease. …”
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PDA: A Novel Privacy-Preserving Robust Data Aggregation Scheme in People-Centric Sensing System by Ziling Wei, Baokang Zhao, Jinshu Su

“…Moreover, PDA is robust to node failure and data loss. We also evaluate the efficacy and efficiency of PDA. The result shows that our scheme can achieve the security and robust goal under a reasonable cost.…”
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Targeted drug screening for autism based on Cav1.2 calcium ion channel. by Chao Liu

“…Molecular dynamics (MD) simulations were performed to evaluate the interactions of the top candidates with Cav1.2, and Molecular Mechanics/Poisson-Boltzmann Surface Area (MM/PBSA) analysis was employed to predict binding free energies. …”
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Cooperative Beamforming for Physical-Layer Security in Power-Constrained Wireless Sensor Networks with Partial Relay Selection by Mujun Qian, Chen Liu, Yulong Zou

“…Additionally, the relay-ordering based beamforming scheme almost achieves the same secrecy capacity as the exhaustive-search method, but with a reduced computational complexity.…”
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An optimized stacking-based TinyML model for attack detection in IoT networks. by Anshika Sharma, Shalli Rani, Mohammad Shabaz

“…The performance of the model is evaluated by accuracy, precision, recall, F1-score, specificity, and false positive rate (FPR). …”
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Imaging and printing in plastic and reconstructive surgery part 2: emerging techniques by Michael P Chae, David J Hunter-Smith, Warren M Rozen

“…**Background**: In the second of a two-part series, we evaluate emerging three-dimensional (3D) imaging and printing techniques based on computed tomography angiography (CT) and magnetic resonance angiography (MRA) for use in plastic and reconstructive surgery. …”
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Using artificial intelligence techniques and econometrics model for crypto-price prediction by Abhidha Verma, Jeewesh Jha

“…Moreover, our findings suggest that the AI approach enhances computational speed while maintaining accuracy and minimizing errors.…”
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Sociocultural Barriers for Female Participation in STEM: A Case of Saudi Women in Cybersecurity by Alanoud Aljuaid, Xiang Michelle Liu

“…The study used a qualitative design that entailed reliance on both primary interview data and additional evidence from prior literature to evaluate the barriers faced by Saudi women in cybersecurity. …”
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Prognostic accuracy of the Stroke Rehabilitation Assessment of Movement (STREAM) scores on admission for walking independence in stroke patients at discharge and one-month follow-u... by Thamonwan Kirdthongkham, Maria Justine, Akkradate Siriphorn

“…Gait prediction is critical in optimizing rehabilitation strategies for stroke survivors. This study evaluates the prognostic utility of the Stroke Rehabilitation Assessment of Movement (STREAM) scores, recorded at admission, for predicting walking ability at discharge and one-month follow-up. …”
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Fast Nonparametric Inference of Network Backbones for Weighted Graph Sparsification by Alec Kirkley

“…Network backbones provide useful sparse representations of weighted networks by keeping only their most important links, permitting a range of computational speedups and simplifying network visualizations. …”
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Coupled CFD-FEM Simulation of Steel Box Bridge Exposed to Fire by Chenglong Xu, Zhi Liu

“…This paper developed a framework coupling the computational dynamics (CFD) method and finite element method (FEM) to predict the performance of fire-exposed bridges. …”
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Roma in tabula by Sophie Madeleine, Jérôme Nicolle

“…Roma in Tabula is an application which allows everyone to visualize, on mobile devices or computers, part of the research work on the virtual restitution of 4th-century Rome carried out at the University of Caen Normandy. …”
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Adoption of National Identity in Metropolises: A Study in Istanbul by Ece Doruk, Seda Mengü

“…Following the completion of field research, questionnaires will be evaluated with computer and the findings will be reported accordingly.…”
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Reasoning action-centric temporal relations at rich feature hierarchies for action recognition. by Manshu Liang, Wenbin Wu, Zhuolei Chen, Tengfei Han, Yuan Zheng

“…Thanks to its flexible and efficient designs, our ATR can be directly integrated into existing action recognition models at different depths, empowering the hierarchical reasoning on the action-centric temporal relations at the cost of minor computational overhead. We extensively evaluate our ATR block on three action recognition benchmarks, Something-Something V1, V2, and Kinetics, with the backbones of TSN, TSM, and SlowOnly. …”
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Novel Design of Resource-Constrained Quantum Reversible Logic Gates at Optimal Cost and Depth by Mamtha Prajapati, Kalyan Babu Killana

“…Reversible logic design is a growing research subject that evaluates and applies resources in new advancements. …”
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Moanna: Multi-Omics Autoencoder-Based Neural Network Algorithm for Predicting Breast Cancer Subtypes by Richard Lupat, Rashindrie Perera, Sherene Loi, Jason Li

“…We evaluated our use of Autoencoder against other dimensionality reduction techniques and demonstrated its superiority in learning patterns associated with breast cancer subtypes. …”
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