*.avi; *.csv; *.txt; *.zip
These are the codes and models used in our experiments regarding our submitted article “Cheby-KANs:
Advanced Kolmogorov-Arnold Networks for Applying Geometric Deep Learning in Quantum Chemistry
Applications”. The code is developed using python programming language. In our paper we hae
developed the B-spline based KANs with a more powerful and much faster polynomials “shifted-
Chebyshev polynomials” of the first kind. Also, we integrated our new architecture with geometric deep
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16 Views
The increasing number of wildfires damages nature and human life, making the early detection of wildfires in complex outdoor environments critical. With the advancement of drones and remote sensing technology, infrared cameras have become essential for wildfire detection. However, as the demand for higher accuracy in detection algorithms grows, the detection model's size and computational costs increase, making it challenging to deploy high-precision detection algorithms on edge computing devices onboard drones for real-time fire detection.
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24 Views
Electrical Impedance Tomography system measures change in path conductivity of a cross section of ROI. ROI is created by surrounding a cross-section by metal electrodes. These inject microlevel charges into ROI and attenuation due to ROI material is reconstructed.
X-ray CT is a well known non destructive imaging technology used primarily in medical applications. However, industrial CT are used for industrial applciations.
Computational Fluid dynamics assist flow simulation of fluid channels.
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214 Views
Due to the lack of publicly available injection-molded product defect datasets and the diversity of defects in terms of shapes, sizes, and textures, we collects defect samples from injection molding factories to ensure the model performs well in real industrial scenarios. To ensure the quality and usability of the data, after analyzing the sample data, data cleaning is performed to remove the irregular images.
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109 Views
Brain-Computer Interface (BCI) technology facilitates a direct connection between the brain and external devices by interpreting neural signals. It is critical to have datasets that contain patient's native languages while developing BCI-based solutions for neurological disorders. However, present BCI research lacks appropriate language-specific datasets, particularly for languages such as Telugu, which is spoken by more than 90 million people in India.
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347 Views
Scalability, heterogeneity, energy efficiency, cost-effectiveness, robustness, interoperability, and low latency data transfer are some of the critical challenges posed by the Internet of Things in the modern era of the Internet. Content Centric Networks (CCN) and Named Data Networks (NDN) are some proposed solutions that can meet the abovementioned challenges. In-network caching, multicasting, content security, and decoupling of data from location are the significant advantages offered by the CCN.
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142 Views
This study used a benchmark dataset, applying different embedding like LASER and FastText to capture contextual information, which was combined to create a new hybrid embedding. This hybrid embedding was fed to machine-learning (ML) and deep learning (DL) classifiers.
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280 Views
The REST (REpresentational State Transfer) paradigm has become essential for designing distributed applications that leverage the HTTP protocol, enabling efficient data exchange and the development of scalable architectures such as microservices. However, selecting an appropriate framework among the myriad available options, especially given the diversity of emerging execution environments, presents a significant challenge. Often, this decision neglects crucial factors such as performance and energy efficiency, favoring instead developer familiarity and popularity within the industry.
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377 Views
Single-source shortest path (SSSP) discovery, one of a shortest path problem in algorithmic graph theory, is a combinatorial optimization problem. Most propositions solving the SSSP problem rely on Dijkstra’s algorithm. Although theoretically inferior in asymptotic upper bound time complexity, Dijkstra’s algorithm Binary variant outperforms Fibonacci variant empirically, in SSSP computations for real-world datasets, especially on sparse input graphs.
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84 Views
The dataset includes active power measurements for a residential prosumer located in Mogosoaia, Romania, collected at 1 frame/second reporting rate over 12 consecutive months.
Always-on appliances include the refrigerator and the wireless router. Several other appliances are installed in the residential unit: washing machine, lighting fixtures, electrical iron, vacuum cleaner, various ICT charging devices, and air conditioning (seldom used).
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328 Views