It presents bigest Assamese Isolated handwritten numeral dataset that is consist of   35106 numerals samples in grayscale format of uniform size 28x28. The contributors arestudents and Academic professionals.

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These are the coefficients of the equivalent velocity increment estimator for minimum-time low-thrust transfers to the geostationary orbit.

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This dataset contains raw captured packet headers from six commercial drones.

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Question Answer Pair dataset for Sentiment Analysis Tasks.

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Non uniformly illuminated Blender simulated and camera captured haze masks.

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Akshi IMAGE, a new Indian ethnicity retinal fundus image database, has been established for the evaluation of computer-assisted glaucoma prescreening methods. ‘Akshi’ is a Sanskrit word for the ‘Eye’ and ‘IMAGE’ is an acronym for IISc-MAHE Glaucoma Evaluation database. This database is a result of an interdisciplinary collaboration between Indian Institute of Science (IISc) and Manipal Academy of Higher Education (MAHE). The database consists of retinal color fundus images acquired using three different devices.

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For whole-testis cross-section analysis the output predictions from 1024x1024 images were merged and the whole-testis cross-section image was recompiled, with the annotated cellular and tubular objects, which were derived from cell and tubule models, respectively . This figure provides a high-resolution image of whole-testis cross-section analysis with cellular and tubular labels. 

 

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We can create ANN-based and SVM-based flip-flop timing models with the help of SPICE simulations. This dataset contains training/test samples obtained using SPICE simulation for creating/testing these ML-based models. 

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The C3I Synthetic Human Dataset provides 48 female and 84 male synthetic 3D humans in fbx format generated from iClone 7 Character creator “Realistic Human 100” toolkit with variations in ethnicity, gender, race, age, and clothing. For each of these, it further provides the full-body model with five different facial expressions – Neutral, Angry, Sad, Happy, and Scared. Along with the body models, it also open-sources a data generation pipeline written in python to bring those models into a 3D Computer Graphics tool called Blender.

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This data set contains data collected from an overhead crane (https://doi.org/10.1109/WF-IoT.2018.8355217) OPC UA server when driving an L-shaped path with different loads (0kg, 120kg, 500kg, and 1000kg). Each driving cycle was driven with an anti-sway system activated and deactivated. Each driving cycle consisted of repeating five times the process of lifting the weight, driving from point A to point B along with the path, lowering the weight, lifting the weight, driving back to point A, and lowering the weight.

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