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View article: GraphDerm: Fusing Imaging, Physical Scale, and Metadata in a Population-Graph Classifier for Dermoscopic Lesions
GraphDerm: Fusing Imaging, Physical Scale, and Metadata in a Population-Graph Classifier for Dermoscopic Lesions Open
Introduction. Dermoscopy aids melanoma triage, yet image-only AI often ignores patient metadata (age, sex, site) and the physical scale needed for geometric analysis. We present GraphDerm, a population-graph framework that fuses imaging, m…
View article: FPGA-Accelerated Real-Time DCGANs via Xilinx DPUs and Vitis AI
FPGA-Accelerated Real-Time DCGANs via Xilinx DPUs and Vitis AI Open
Generative Adversarial Networks (GANs) produce high-quality images but are computationally intensive, especially due to transposed convolution operations, limiting their real-time performance on traditional hardware. To address this, we pr…
View article: ChaserNet: Sound Source Localization via Deep Multi-Agent Reinforcement Learning
ChaserNet: Sound Source Localization via Deep Multi-Agent Reinforcement Learning Open
View article: Analytical Review on Hardware-Accelerated Small Object Detection: An Architectural Deep Dive into the YOLO Framework
Analytical Review on Hardware-Accelerated Small Object Detection: An Architectural Deep Dive into the YOLO Framework Open
View article: IT2CorUNFIS: An Interval Type-2 Correlation-aware Fuzzy Inference System with Unstructured Fuzzy Rules for Classification
IT2CorUNFIS: An Interval Type-2 Correlation-aware Fuzzy Inference System with Unstructured Fuzzy Rules for Classification Open
View article: Enhancing Computational Efficiency in Intensive Domains via Redundant Residue Number Systems
Enhancing Computational Efficiency in Intensive Domains via Redundant Residue Number Systems Open
In computation-intensive domains such as digital signal processing, encryption, and neural networks, the performance of arithmetic units, including adders and multipliers, is pivotal. Conventional numerical systems often fall short of meet…
View article: Deep Perspective Transformation Based Vehicle Localization on Bird's Eye View
Deep Perspective Transformation Based Vehicle Localization on Bird's Eye View Open
An accurate understanding of a self-driving vehicle's surrounding environment is crucial for its navigation system. To enhance the effectiveness of existing algorithms and facilitate further research, it is essential to provide comprehensi…
View article: Ha-Bsn: Hardware Acceleration of Bio-Sfa and Bio-Nica, Biological Neural Networks, on Fpga
Ha-Bsn: Hardware Acceleration of Bio-Sfa and Bio-Nica, Biological Neural Networks, on Fpga Open
View article: HyperDbg: Reinventing Hardware-Assisted Debugging
HyperDbg: Reinventing Hardware-Assisted Debugging Open
Software analysis, debugging, and reverse engineering have a crucial impact in today’s software industry. Efficient and stealthy debuggers are especially relevant for malware analysis. However, existing debugging platforms fail to ad…
View article: HyperDbg: Reinventing Hardware-Assisted Debugging (Extended Version)
HyperDbg: Reinventing Hardware-Assisted Debugging (Extended Version) Open
Software analysis, debugging, and reverse engineering have a crucial impact in today's software industry. Efficient and stealthy debuggers are especially relevant for malware analysis. However, existing debugging platforms fail to address …
View article: Correction: ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans
Correction: ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans Open
[This corrects the article DOI: 10.1371/journal.pone.0250952.].
View article: ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans
ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans Open
The development of medical assisting tools based on artificial intelligence advances is essential in the global fight against COVID-19 outbreak and the future of medical systems. In this study, we introduce ai-corona , a radiologist-assist…
View article: TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training
TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training Open
Emerging intelligent embedded devices rely on Deep Neural Networks (DNNs) to\nbe able to interact with the real-world environment. This interaction comes\nwith the ability to retrain DNNs, since environmental conditions change\ncontinuousl…
View article: Traffic-aware performance optimization in Real-time wireless network on chip
Traffic-aware performance optimization in Real-time wireless network on chip Open
View article: Unlucky Explorer: A Complete non-Overlapping Map Exploration
Unlucky Explorer: A Complete non-Overlapping Map Exploration Open
Nowadays, the field of Artificial Intelligence in Computer Games (AI in Games) is going to be more alluring since computer games challenge many aspects of AI with a wide range of problems, particularly general problems. One of these kinds …
View article: A Way Around UMIP and Descriptor-Table Exiting via TSX-based Side-Channel
A Way Around UMIP and Descriptor-Table Exiting via TSX-based Side-Channel Open
Nowadays, in operating systems, numerous protection mechanisms prevent or limit the user-mode applicationsto access the kernels internal information. This is regularlycarried out by software-based defenses such as Address Space Layout Rand…
View article: A Way Around UMIP and Descriptor-Table Exiting via TSX-based Side-Channel Attack.
A Way Around UMIP and Descriptor-Table Exiting via TSX-based Side-Channel Attack. Open
Nowadays, in operating systems, numerous protection mechanisms prevent or limit the user-mode applicationsto access the kernels internal information. This is regularlycarried out by software-based defenses such as Address Space Layout Rand…
View article: <i>ai-corona</i>: Radiologist-Assistant Deep Learning Framework for COVID-19 Diagnosis in Chest CT Scans
<i>ai-corona</i>: Radiologist-Assistant Deep Learning Framework for COVID-19 Diagnosis in Chest CT Scans Open
Generation of medical assisting tools using recent artificial intelligence advances is beneficial for the medical workers in the global fight against COVID-19 outbreak. In this article we introduce ai-corona , a radiologist-assistant deep …
View article: On the Resilience of Deep Learning for Reduced-voltage FPGAs
On the Resilience of Deep Learning for Reduced-voltage FPGAs Open
Deep Neural Networks (DNNs) are inherently computation-intensive and also power-hungry. Hardware accelerators such as Field Programmable Gate Arrays (FPGAs) are a promising solution that can satisfy these requirements for both embedded and…
View article: Skin Lesion Diagnosis Using Ensemble Deep Learning Models
Skin Lesion Diagnosis Using Ensemble Deep Learning Models Open
Background: Skin cancer is a serious public health concern (1). With over 5 million newly diagnosed cases every year, it is the most common form of cancer worldwide (3). Among the different categories of skin cancer, melanoma is the deadli…
View article: Decentralized Cooperative Communication-less Multi-Agent Task Assignment with Monte-Carlo Tree Search
Decentralized Cooperative Communication-less Multi-Agent Task Assignment with Monte-Carlo Tree Search Open
Cooperative task assignment is an important subject in multi-agent systems with a wide range of applications. These systems are usually designed with massive communication among the agents to minimize the error in pursuit of the general go…
View article: Generating High Quality Random Numbers: A High Throughput Parallel Bitsliced Approach
Generating High Quality Random Numbers: A High Throughput Parallel Bitsliced Approach Open
In this work, by employing a bitsliced data representation as building blocks of algorithms, we showcase the capability and scalability of our proposed method in a variety of PRNG methods in the category of block and stream ciphers. While …
View article: High-performance Cryptographically Secure Pseudo-random Number Generation via Bitslicing.
High-performance Cryptographically Secure Pseudo-random Number Generation via Bitslicing. Open
In this paper, a high-throughput Cryptographically Secure Pseudo-Random Number Generator (CSPRNG) using the bitslicing technique is proposed. In such technique, instead of the conventional row-major data representation, column-major data r…