[HTML][HTML] Technology and automation in financial trading: A bibliometric review
In this bibliometric study, the significant transformations in the financial sector brought about
by automation and technological advancements from 1984 to 2022 are explored. A total of …
by automation and technological advancements from 1984 to 2022 are explored. A total of …
Synergistic evaluation of Sentinel 1 and 2 for biomass estimation in a tropical forest of India
RKM Malhi, A Anand, PK Srivastava… - Advances in Space …, 2022 - Elsevier
Spatially explicit measurement of Above Ground Biomass (AGB) is crucial for the
quantification of forest carbon stock and fluxes. To achieve this, an integration of Optical and …
quantification of forest carbon stock and fluxes. To achieve this, an integration of Optical and …
Calibration of time-series forecasting: Detecting and adapting context-driven distribution shift
Recent years have witnessed the success of introducing deep learning models to time
series forecasting. From a data generation perspective, we illustrate that existing models are …
series forecasting. From a data generation perspective, we illustrate that existing models are …
Risk prediction by using artificial neural network in global software development
The demand for global software development is growing. The nonavailability of software
experts at one place or a country is the reason for the increase in the scope of global …
experts at one place or a country is the reason for the increase in the scope of global …
Enhanced classification of hyperspectral images using improvised oversampling and undersampling techniques
In the era of climate change, monitoring and effective retrieval of soil, water bodies,
vegetation parameters etc. are of utmost importance which is successfully being executed …
vegetation parameters etc. are of utmost importance which is successfully being executed …
Deep Learning-Based Recommendation System: Systematic Review and Classification
In recent years, recommendation systems have become essential for businesses to enhance
customer satisfaction and generate revenue in various domains, such as e-commerce and …
customer satisfaction and generate revenue in various domains, such as e-commerce and …
Terminal voltage prediction of Li-ion batteries using combined neural network and teaching learning based optimization algorithm
SSS Narayanan, S Thangavel - Applied Soft Computing, 2023 - Elsevier
The static and dynamic model parameters are critical parameters for the accurate estimation
of open-circuit voltage and the terminal voltage of a Lithium-Ion (Li-Ion) battery. This work …
of open-circuit voltage and the terminal voltage of a Lithium-Ion (Li-Ion) battery. This work …
[HTML][HTML] Computing performance requirements for web service compositions
A García-Domínguez, F Palomo-Lozano… - Computer Standards & …, 2023 - Elsevier
In order to produce service compositions, modern web applications now combine both in-
house and third-party web services. Therefore, their performance depends on the …
house and third-party web services. Therefore, their performance depends on the …
Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift
Recent years have witnessed the success of introducing Transformers to time series
forecasting. From a data generation perspective, we illustrate that existing Transformers are …
forecasting. From a data generation perspective, we illustrate that existing Transformers are …
A probe into performance analysis of real-time forecasting of endemic infectious diseases using machine learning and deep learning algorithms
MK Pandey, PK Srivastava - Advanced Prognostic Predictive Modelling in …, 2021 - Springer
The current work aims at probing the performance of real-time forecasting of endemic
infectious diseases by means of machine learning and deep learning techniques. An LSTM …
infectious diseases by means of machine learning and deep learning techniques. An LSTM …