Developing a Model for Bird Vocalization Recognition and Population Estimation in Forest Ecosystems

Yadav, Kartik; Dabral, Suyash; Vats, Satvik; Sharma, Vikrant; Kukreja, Vinay

doi:10.1109/icdt61202.2024.10489318

2024 2nd International Conference on Disruptive Technologies (ICDT) 2024

DOI: 10.1109/icdt61202.2024.10489318

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Developing a Model for Bird Vocalization Recognition and Population Estimation in Forest Ecosystems

Kartik Yadav,

Suyash Dabral,

Satvik Vats

et al.

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2024

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Cited by 9 publications

References 11 publications

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Neuromorphic Computing: Forging a Link between Artificial Intelligence and Neurological Models

Bajaj,

Rawat,

Sharma

et al. 2024

A Practitioner's Approach to Problem-Solving Using AI

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By emulating the design and operation of the human brain, neuromorphic computing promises to close the gap between artificial intelligence and brain-inspired technologies. Researchers create specialized hardware and software to mimic the brain's processing speed, capacity for learning, and energy economy. This chapter examines the drivers, difficulties, and prospective uses of neuromorphic computing, with a focus on robotics, sensory processing, and pattern recognition. The entire potential of brain-inspired systems will be unlocked by ongoing research, revolutionizing the field of AI and paving the way for the creation of cutting-edge, intelligent machines that follow the principles of the brain.

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Neuromorphic Computing: Forging a Link between Artificial Intelligence and Neurological Models

Bajaj,

Rawat,

Sharma

et al. 2024

A Practitioner's Approach to Problem-Solving Using AI

View full text Add to dashboard Cite

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Glaucoma Detection with Retinal Fundus Images

Mehta,

Gupta,

Sahu

et al. 2024

A Practitioner's Approach to Problem-Solving Using AI

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This paper discusses numerous methods for glaucoma detection. Because of its impact on the optic nerve and the loss of ganglion cells, which eventually results in vision loss, glaucoma has emerged as the leading cause of blindness worldwide. In this article, we provide a few methods for recognizing glaucoma in its earliest stages, which can prevent irreversible damage to a person's vision. We explore ROI (region of interest), optic cup and disc ratio, LSACM, and LSACM-SP techniques in this research, all of which help us achieve significant segmentation results. The development of diagnostic methods for several eye illnesses began with the discovery of the “optical disc (OD)”. To produce circular OD milestones, this methodology rounds extrinsic morphology and detecting methodologies. The OD's pixels must be provided as raw data. To achieve this, a methodology based on the chosen voting method is devised.

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Web User Access Path Prediction using Recognition with Recurrent Neural Network

Prerna,

Chamoli,

Singh

et al. 2024

A Practitioner's Approach to Problem-Solving Using AI

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This research introduces a novel technique for predicting web user access paths based on Recognition with Recurrent Neural Network (RNN). The study focuses on utilizing user access paths as the primary research goal and explores the application of RNN in addressing the path forecasting problem. A network model is developed and examined for predicting access paths by enhancing the feature layer. This approach effectively leverages contextual information from user conversation sequences, learns and memorizes user access patterns, and obtains optimal model parameters through training data analysis. Consequently, it enables accurate prediction of the user's next access path. Theoretical analysis and experimental results demonstrate the higher efficiency and improved accuracy of path forecasting achieved by this technique, making it well-suited for solving web user access path prediction problems.

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Developing a Model for Bird Vocalization Recognition and Population Estimation in Forest Ecosystems

Cited by 9 publications

References 11 publications

Neuromorphic Computing: Forging a Link between Artificial Intelligence and Neurological Models

Neuromorphic Computing: Forging a Link between Artificial Intelligence and Neurological Models

Glaucoma Detection with Retinal Fundus Images

Web User Access Path Prediction using Recognition with Recurrent Neural Network

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