2026 March - 10 articles
27 February 2026
This paper presents a secure 2.4 GHz frequency shift keying (FSK) transmitter front-end with minimal overhead on the data stream using analog obfuscation techniques applied to the modulated waveform. An off-chip true random number generator (TRNG) un...
This research addresses the increasing need for efficient energy management in residential settings in response to the increasing global energy demands, focusing on the integration of artificial intelligence to identify energy burdens. We employ and...
In the post-Moore’s Law era, conventional Von Neumann architectures face critical limitations, such as the “memory wall” and excessive power consumption, particularly when processing unstructured data. Neuromorphic computing, inspir...
In this work, the authors introduce an entirely solar-powered LoRa-based WSN consisting of several nodes, two stoplights, and four cameras. The system has been used to monitor the semi-rural area of Panni (FG), Puglia, Italy. The WSN has a totally cu...
A new approach to end-to-end power delivery for increasingly sought-after hierarchical power delivery units (PDUs) is presented, improving the power efficiency of portable systems. The benefits of the technique are demonstrated through a PDU comprisi...
This paper examines the implementation and resource utilization of Cascaded Integrator Comb (CIC) filters within FPGA-based Pulse Density Modulation (PDM) microphone applications. Three CIC filter designs were analyzed: one generated using MATLAB&rsq...
(1) Background: In hospitals, mattresses are often relocated for cleaning or patient transfer, leading to mismatches between actual and recorded bed locations. Manual updates are time-consuming and error-prone, requiring an automatic localization sys...
In the pursuit of real-time object detection with constrained computational resources, the optimization of neural network architectures is paramount. We introduce novel sparsity induction methods within the YOLOv4-Tiny framework to significantly impr...
Modern deep neural network (DNN) accelerators must sustain high throughput while avoiding performance degradation from supply voltage (VDD) droop, which occurs when large arrays of multiply–accumulate (MAC) units switch concurrently and induce...
The Transformer architecture has achieved remarkable success across numerous computer vision tasks due to its superior capability for global dependency modeling. However, the high computational complexity and hardware-unfriendly operations such as La...
