Context Is All You Need: A Hybrid Attention-Based Method for Detecting Code Design Patterns by Tarik Houichime, Younes El Amrani

“…Software reverse engineering plays a crucial role in identifying design patterns and reconstructing software architectures by analyzing system implementations and producing abstract representations across multiple layers. …”
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Lightweight AES Design for IoT Applications: Optimizations in FPGA and ASIC With DFA Countermeasure Strategies by Salman Ahmed, Nabihah Ahmad, Nasir Ali Shah, Ghulam E. Mustafa Abro, Ardhi Wijayanto, Abdinasir Hirsi, Abdul Rehman Altaf

“…This paper offers a comprehensive review of the latest lightweight AES architectural designs, including optimizations to the Substitution Box (S-Box), Sub-Bytes, Shift Rows, Mix Columns, and Add Round Key steps, assessing their impact on gate count, area, maximum frequency, power consumption, and throughput in field programable gate arrays (FPGA) and Application-specific integrated circuit (ASIC) implementations. …”
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Review on Deep Learning and Neural Network Implementation for Emotions Recognition by Renas Rajab Asaad

“…Three Promising neural network architectures are customized, trained. and subjected to various classification tasks, after which the best performing network is further optimized. …”
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Analyzing the Efficacy of Computer-Aided Detection in Cerebral Aneurysm Diagnosis Using MRI Modality: A Review by Keerthi A. S. Pillai, Preena K. P., Madhu S. Nair

“…Key research gaps are identified, including the need for large training samples, challenges in Maximum Intensity Projection (MIP) imaging, limitations of 2D architectures, and issues related to overfitting and computational complexity. …”
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Empowering Security Operation Center With Artificial Intelligence and Machine Learning—A Systematic Literature Review by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…In addition, an in-depth reference architectural model, which is a blueprint for SOC integrating AI and ML into SOCs, is introduced. …”
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Application of Generative Artificial Intelligence Models for Accurate Prescription Label Identification and Information Retrieval for the Elderly in Northern East of Thailand by Parinya Thetbanthad, Benjaporn Sathanarugsawait, Prasong Praneetpolgrang

“…This study introduces a novel AI-driven approach to support elderly patients in Thailand with medication management, focusing on accurate drug label interpretation. Two model architectures were explored: a Two-Stage Optical Character Recognition (OCR) and Large Language Model (LLM) pipeline combining EasyOCR with Qwen2-72b-instruct and a Uni-Stage Visual Question Answering (VQA) model using Qwen2-72b-VL. …”
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Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator by Xianming Sun, Tao Yu, Lipeng Wang, Yunshu Lu, Changzheng Chen

“…In various practical noise control scenarios, such as duct noise mitigation, industrial machinery, architectural acoustics, and underwater applications, it is essential to develop noise absorbers that deliver effective low-frequency attenuation while maintaining compact dimensions. …”
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A −11.6-dBm OMA Sensitivity 0.55-pJ/bit 40-Gb/s Optical Receiver Designed Using a 2-Port-Parameter-Based Design Methodology by Yongxin Li, Tianyu Wang, Mostafa Gamal Ahmed, Ruhao Xia, Kyu-Sang Park, Mahmoud A. Khalil, Sashank Krishnamurthy, Zhe Xuan, Ganesh Balamurugan, Pavan Kumar Hanumolu

“…This article presents a systematic design methodology for transimpedance amplifiers (TIAs) based on two-port parameters, enabling efficient exploration of complex TIA architectures, including multistage forward amplifiers, and facilitating the identification of optimal design parameters to meet target specifications. …”
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Comparison of Fully Convolutional Networks and U-Net for Optic Disc and Optic Cup Segmentation by Jin Zixiao

“…The restrictions related to this study include biases from using only one dataset acquired from particular imaging devices, dependency on mask-based cropping techniques, and comparison being restricted to two fundamental architectures. This work presents the contribution of the deep learning models in improving glaucoma screening and therefore helping in avoiding blindness.…”
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5G Fronthaul in Modular P4: eCPRI Protocol Processing and Precise BMv2 Timestamps for PTP-1588 by Atabak Nojavan, Bill Pontikakis, Francois-Raymond Boyer, Yvon Savaria

“…While this paper focuses on 5G fronthaul applications in O-RAN networks, the techniques and results presented are equally applicable to other use cases across end-to-end 5G networks and beyond, paving the way for modular, high-precision, and programmable solutions in future open and interoperable network architectures.…”
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Re-Calibrating Network by Refining Initial Features Through Generative Gradient Regularization by Naim Reza, Ho Yub Jung

“…In empirical evaluation, we applied the proposed methodology to CIFAR, SVHN and ImageNet datasets, utilizing a range of network architectures. The results evidenced a performance gain of 1.66% for the CIFAR dataset using WideResNet, 1.22% for the SVHN dataset using PreResNet and 0.57% for the ImageNet dataset using ResNet.…”
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Cardamom extract alleviates tamoxifen-induced liver damage by suppressing inflammation and pyroptosis pathway by Wedad S. Sarawi, Hala A. Attia, Afraa Alzoubi, Nour Alanazi, Raeesa Mohammad, Rehab A. Ali

“…TAM exposure resulted in apparent degenerations in hepatic tissue with inflammatory cell infiltration and loss of architectures. Serum levels of liver enzymes including alanine aminotransferase, aspartate aminotransferase and alkaline phosphatase were elevated, along with hepatic oxidative stress, as shown by increased lipid peroxidation with lower levels of reduced glutathione. …”
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CMOS Single-Photon Avalanche Diode Circuits for Probabilistic Computing by William Whitehead, Wonsik Oh, Luke Theogarajan

“…Intrinsically random hardware devices are increasingly attracting attention for their potential use in probabilistic computing architectures. One such device is the single-photon avalanche diode (SPAD) and an associated functional unit, the variable-rate SPAD circuit (VRSC), recently proposed by us as a source of randomness for sampling and annealing Ising and Potts models. …”
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Computer Based Correlation of the Texture of P63 Expressed Nuclei with Histological Tumour Grade, in Laryngeal Carcinomas by Konstantinos Ninos, Spiros Kostopoulos, Ioannis Kalatzis, Panagiota Ravazoula, George Sakelaropoulos, George Panayiotakis, George Economou, Dionisis Cavouras

“…P63 positively expressed nuclei were identified, the percentage of P63 expressed nuclei was computed, and 118 textural, morphological, shape, and architectural features were calculated from each one of the 55 laryngeal lesions. …”
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LipBengal: Pioneering Bengali lip-reading dataset for pronunciation mapping through lip gesturesHugging Face by Md. Tanvir Rahman Sahed, Md. Tanjil Islam Aronno, Hussain Nyeem, Md. Abdul Wahed, Tashrif Ahsan, R Rafiul Islam, Tareque Bashar Ovi, Manab Kumar Kundu, Jane Alam Sadeef

“…Captured under diverse and uncontrolled conditions, LipBengal stands as the most extensive Bengali lip-reading dataset to date, designed to facilitate robust benchmarking and validation of novel deep learning architectures. Detailed annotations extend from phoneme- level classifications to full sentence constructions, providing a granular and comprehensive dataset. …”
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Effects of Magnetite Aggregate and Steel Powder on Thermal Conductivity and Porosity in Concrete for Nuclear Power Plant by Han-Seung Lee, Seung-Jun Kwon

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Numerical Investigation of Complex Thermal Coal-Gas Interactions in Coal-Gas Migration by Xiaoyan Ni, Peng Gong, Yi Xue

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Cyclic Behavior and Modeling of Bolted Glulam Joint with Cracks Loaded Parallel to Grain by Jing Zhang, Zhi-Fang Liu, Yong Xu, Mai-Li Zhang, Liu-Cheng Mo

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Damage Identification of Piles Based on Vibration Characteristics by Xiaozhong Zhang, Wenjuan Yao, Bo Chen, Dewen Liu

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Stability Analysis of Axisymmetric Concave Slopes Based on Two-Dimensional Limit Equilibrium Approach considering Additional Shear Resistance by Xiao-ming Liu, Rui Zhang, Jie Han, Sha Chen

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