Machine Learning
This is an open-access page. All content can be freely downloaded after sign-up. This webpage contains datasets of 'Computational Biology' which are explored and based on known theory, datasets of self-claimed ß-Bio models for Woman/Females proposed by me as Self-Claimed advancements .
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This is an open-access page. All content can be freely downloaded after sign-up. This webpage contains datasets and models, proposed by me which are Self-Claimed advancements. Complete Model and Project folder will be uploaded once Certain Medical People reject it for whatever reason, or accept it. Models shared only for humanitarian purposes, Can be used or modified by Clinical Doctors or Pharmacologists or Researchers under License CC-BY.
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A medium-scale synthetic 4D Light Field video dataset for depth (disparity) estimation. From the open-source movie Sintel. The dataset consists of 24 synthetic 4D LFVs with 1,204x436 pixels, 9x9 views, and 20–50 frames, and has ground-truth disparity values, so that can be used for training deep learning-based methods. Each scene was rendered with a clean pass after modifying the production file of Sintel with reference to the MPI Sintel dataset.
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This dataset contains RF signals from drone remote controllers (RCs) of different makes and models. The RF signals transmitted by the drone RCs to communicate with the drones are intercepted and recorded by a passive RF surveillance system, which consists of a high-frequency oscilloscope, directional grid antenna, and low-noise power amplifier. The drones were idle during the data capture process. All the drone RCs transmit signals in the 2.4 GHz band. There are 17 drone RCs from eight different manufacturers and ~1000 RF signals per drone RC, each spanning a duration of 0.25 ms.
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This dataset is composed of side channel information (e.g., temperatures, voltages, utilization rates) from computing systems executing benign and malicious code. The intent of the dataset is to allow aritificial intelligence tools to be applied to malware detection using side channel information.
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The world faces difficulties in terms of eye care, including treatment, quality of prevention, vision rehabilitation services, and scarcity of trained eye care experts. Early detection and diagnosis of ocular pathologies would enable forestall of visual impairment. One challenge that limits the adoption of computer-aided diagnosis tool by ophthalmologists is the number of sight-threatening rare pathologies, such as central retinal artery occlusion or anterior ischemic optic neuropathy, and others are usually ignored.
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This dataset contains constellation diagrams for QPSK, 16QAM, 64QAM, which we used for our research paper "Fast signal quality monitoring for coherent communications enabled by CNN-based EVM estimation" on JOCN.
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