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Artificial Intelligence

ITDAV-25 (Indian Thermal Dataset for Autonomous Vehicles), a thermal image dataset specifically curated to advance research in Advanced Driver Assistance Systems (ADAS), particularly for environments characterized by low visibility, night-time conditions, and inclement weather. The dataset comprises of 13,688 raw thermal images, collected without any synthetic augmentation techniques.

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Feature extraction on the camelyon 17 dataset (https://camelyon17.grand-challenge.org/Data/) using the tile-level encoder of the Prov-GigaPath model (10.1038/s41586-024-07441-w) and the trident project (https://github.com/mahmoodlab/trident/). 

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This dataset was curated mainly to cater to mitigation strategies for the Human-Peafowl Conflict that exists in these regions. The absence of natural predators has contributed to a significant increase in the peafowl population, exacerbating challenges for farmers. Peafowls are sometimes considered agricultural pests due to their tendency to feed on and damage crops. The vocalizations are from the Indian Peafowl (Pavo cristatus), a species native to the Indian subcontinent and especially abundant in India and Sri Lanka.

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IRWOZ has improved industrial human-robot interaction (HRI) dialogue systems through domain-specific annotations. However, its initial version contains substantial noise in dialogue states and utterances, limiting state-tracking accuracy. We introduce IRWOZ 2.0, which addresses these limitations through large language model (LLM) enhanced generation (Mistral/Claude-3.5) and quality refinements. Our improved

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The composition of the natural gas components is as follows: $CH_{4}$ (97.07$\%$), $C_{2}H_{6}$ (0.17$\%$), $C_{3}H_{8}$ (0.02$\%$), $N_{2}$ (0.71$\%$), and $CO_{2}$ (2.03$\%$). The standard state conditions are a pressure of 101325 $Pa$ and a temperature of 20 $^\circ C$. The pipeline components have an inner diameter of 0.307 $m$, an outer diameter of 0.323 $m$, a total heat transfer coefficient of 0.5, and a roughness of 0.02286 $mm$. The initial temperature of both the pipeline and the surrounding medium is 15 $^\circ C$.

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The composition of the natural gas components is as follows: $CH_{4}$ (97.07$\%$), $C_{2}H_{6}$ (0.17$\%$), $C_{3}H_{8}$ (0.02$\%$), $N_{2}$ (0.71$\%$), and $CO_{2}$ (2.03$\%$). The standard state conditions are a pressure of 101325 $Pa$ and a temperature of 20 $^\circ C$. The pipeline components have an inner diameter of 0.307 $m$, an outer diameter of 0.323 $m$, a total heat transfer coefficient of 0.5, and a roughness of 0.02286 $mm$. The initial temperature of both the pipeline and the surrounding medium is 15 $^\circ C$.

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Transient simulation data set of natural gas pipeline under three working conditions,The composition of the natural gas components is as follows: $CH_{4}$ (97.07$\%$), $C_{2}H_{6}$ (0.17$\%$), $C_{3}H_{8}$ (0.02$\%$), $N_{2}$ (0.71$\%$), and $CO_{2}$ (2.03$\%$). The standard state conditions are a pressure of 101325 $Pa$ and a temperature of 20 $^\circ C$. The pipeline components have an inner diameter of 0.307 $m$, an outer diameter of 0.323 $m$, a total heat transfer coefficient of 0.5, and a roughness of 0.02286 $mm$.

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This dataset comprises high-resolution 3-axis accelerometer recordings collected from human participants performing distinct hand gestures, intended for training gesture-based assistive interfaces. Each participant’s raw motion signals are individually organized, enabling both user-specific and generalizable model development. The dataset includes time-series accelerometer data, along with a feature-augmented version containing extracted statistical and temporal descriptors such as RMS, Jerk, Entropy, and SMA. 

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This data provides a comprehensive collection of air quality and meteorological data from several large cities in India. With 1,410 records, it includes key characteristics like the Air Quality Index (AQI) according to both U.S. and China standards, temperature, atmospheric pressure, humidity, wind speed, wind direction, and timestamps.

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