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Principal components-based quantification of hierarchical k-core assortativity
Hierarchical networks typically get rated to be not assortative on the basis of the degrees of the end vertices of the edges. However, degree...
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Video anomaly localization using modified faster RCNN with soft NMS algorithm
Localization of anomalies in surveillance videos is a critical component of smart and intelligent surveillance systems. The goal of anomaly detection...
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An efficient facial emotion recognition using convolutional neural network with local sorting binary pattern and whale optimization algorithm
Facial emotion recognition is one of the fields of machine learning and pattern recognition. Facial expression recognition is used in a variety of...
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Image classification for sub-surface crack identification in concrete dam based on borehole CCTV images using deep dense hybrid model
The research investigates the significance of identifying structure discontinuities, such as cracks, in concrete dams to ensure dam safety and...
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Automation of takeoff data for aviation services using self-supervised LSTM approaches with time-series prediction
Landing and takeoff are the most crucial phases of any flight; in particular, the takeoff configuration of an aircraft is a delicate balance between...
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Assessment and prediction of water quality indices by machine learning-genetic algorithm and response surface methodology
Conventional techniques for determining water adequacy are generally expensive because they take into account a variety of factors. Thus, the problem...
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Downscaling crop production data to fine scale estimates with geostatistics and remote sensing: a case study in map** cotton fibre quality
PurposeA generalised approach to downscale areal observations of crop production data is illustrated using cotton yield and fibre quality (length and...
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TUMDOT–MUC: Data Collection and Processing of Multimodal Trajectories Collected by Aerial Drones
Currently available trajectory data sets undoubtedly provide valuable insights into traffic events, the behavior of road users and traffic flow...
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On-farm cereal rye biomass estimation using machine learning on images from an unmanned aerial system
This study assesses the potential of using multispectral images collected by an unmanned aerial system (UAS) on machine learning (ML) frameworks to...
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Exploring the dynamical bifurcation and stability analysis of Nipah virus; novel perspectives utilizing fractional calculus
A zoonotic virus called the Nipah virus (NV) can create deadly illness epidemics in humans. The animal host repository for NV is the fruit bat,...
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Comparing the performance of Ridge Regression and Lasso techniques for modelling daily maximum temperatures in Utraradit Province of Thailand
Daily maximum temperature is one of the important climate components for every country. There are many explanatory variables that may affect a...
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Storage of weights and retrieval method (SWARM) approach for neural networks hybridized with conformal prediction to construct the prediction intervals for energy system applications
The prediction intervals represent the uncertainty associated with the model-predicted responses that impacts the sequential decision-making...
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The “Non-Musk” effect at X (Twitter)
Elon Musk, a notable entrepreneur, often influences Wall Street with his controversial social media presence. Drawing on Social Identity and Social...
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Deep learning and embeddings-based approaches for keyphrase extraction: a literature review
Keyphrase extraction is a subtask of natural language processing referring to the automatic extraction of salient terms that semantically capture the...
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Taxonomy of deep learning-based intrusion detection system approaches in fog computing: a systematic review
The Internet of Things (IoT) has been used in various aspects. Fundamental security issues must be addressed to accelerate and develop the Internet...
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Exploring AI-driven approaches for unstructured document analysis and future horizons
In the current industrial landscape, a significant number of sectors are grappling with the challenges posed by unstructured data, which incurs...
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Fertilization and soil management machine learning based sustainable agronomic prescriptions for durum wheat in Italy
PurposeThis research aims to develop a meta-machine learning model to optimize soil and nitrogen management for durum wheat in Italy. It addresses...
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DQN-PACG: load regulation method based on DQN and multivariate prediction model
Demand response plays a pivotal role in modern smart grid systems, aiding in balancing energy consumption. However, the increasing energy demands of...
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Low resource Twi-English parallel corpus for machine translation in multiple domains (Twi-2-ENG)
Although Ghana does not have one unique language for its citizens, the Twi dialect stands a chance of fulfilling this purpose. Twi is among the...
