Machine Learning
With the goal of improving machine learning approaches in inverse scattering, we provide an experimental data set collected with a 2D near-field microwave imaging system. Machine learning approaches often train solely on synthetic data, and one of the reasons for this is that no experimentally-derived public data set exists. The imaging system consists of 24 antennas surrounding the imaging region, connected via a switch to a vector network analyzer. The data set contains over 1000 full Scattering parameter scans of five targets at numerous positions from 3-5 GHz.
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479 Views
The results are based on the measurements conducted on small drones and a bionic bird using a 60 GHz millimeter wave radar, analyzing their micro-Doppler characteristics in both time and frequency domain. The results are presented in .pkl format. The more detailed description of the data and how the authors processed it will be updated soon.
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1069 Views
This dataset presents real-world IoT device traffic captured under a scenario termed "Active," reflecting typical usage patterns encountered by everyday users. Our methodology emphasizes the collection of authentic data, employing rigorous testing and system evaluations to ensure fidelity to real-world conditions while minimizing noise and irrelevant capture.
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598 Views
The rise of e-commerce in Latin America has been driven by the digital presence of the younger generations and the adaptation of retail businesses to online sales channels. The COVID-19 pandemic has further accelerated this shift, forcing businesses to enhance their online commerce strategies. Peru has witnessed a notable 131\% increase in online shoppers from 2019 to 2021. However, the absence of a unique global code for product identification negatively affects the Zero Moment of Truth (ZMOT) in customer decision-making.
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9 Views
An AI-based Ancient Hebrew Language Translator aims to revive Ancient Hebrew by constructing a comprehensive dataset with contemporary and ancient Hebrew samples. Seamless integration of the Google Vision API facilitates Optical Character Recognition (OCR) for image processing. The translation process initiates in English through the model, leading to a multilingual interface. This initiative represents a crucial step in preserving ancient languages in the digital age.
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3 Views
Weconsiderfivebenchmarkdatasets-Pokec-z,NBA,
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21 Views
Standard dataset of the Tennessee–Eastman (TE) process.
The overall process consists of five operating units: reactor, condenser, vapor-liquid separator, recycle compressor and product stripper.
It has standard training and test data sets for soft sensor, fault detection and diagnosis, fault classification, etc. Each data set is under different operating conditions.
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370 Views
Containerization has emerged as a revolutionary technology in the software development and deployment industry. Containers offer a portable and lightweight solution that allows for packaging applications and their dependencies systematically and efficiently. In addition, containers offer faster deployment and near-native performance with isolation and security drawbacks compared to Virtual Machines. To address the security issues, scanning tools that scan containers for preexisting vulnerabilities have been developed, but they suffer from false positives.
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70 Views
This dataset contains the online appendix of the paper titled "The effectiveness of hidden dependence metrics in bug prediction"
Abstract:
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76 Views
The rapid evolution of wireless technology has led to the proliferation of small, low-power IoT devices, often constrained by traditional battery limitations, resulting in size, weight, and maintenance challenges. In response, ambient radio frequency (RF) energy harvesting has emerged as a promising solution to power IoT devices using RF energy from the environment. However, optimizing the placement of energy harvesters is crucial for maximizing energy reception. This paper employs machine learning (ML) techniques to predict areas with high power intensity for RF energy harvesting.
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404 Views