J. Vijayashree’s research while affiliated with VIT University and other places

... The analysis reveals that the EMD-TI-LSTM model significantly outperforms the conventional LSTM, achieving an average 39.90% improvement in forecast accuracy across all financial assets, as indicated by the MAE metric. Table 10 presents an in-depth comparison of various state-of-the-art methods [59][60][61][62][63][64][65][66][67] developed between 2018 and 2023 for predicting BTC prices measured using the MAPE metric. The methods exhibit considerable variability in prediction accuracy, with MAPE values ranging from 1.73 to 3.55, and an average MAPE of 2.96 across these approaches. ...

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A Novel Hybrid Model (EMD-TI-LSTM) for Enhanced Financial Forecasting with Machine Learning

... The integration of multi-sensor systems has revolutionized IoT-based automatic fish feeders, significantly enhancing the efficiency and precision of feeding practices. However, the susceptibility of the sensors to corrosion underscores its critical role thereby relegating the overall system reliability (Malla et al., 2023). ...

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Charting the aquaculture internet of things impact: Key applications, challenges, and future trend

... Asha et al. [27] established a fire firefly swarm optimization algorithm-based system of facial characteristics recognition to search the features in a better way. The extracted features of the face by Principal Component Analysis (PCA) and Haralick characteristics were the databases used to recognize the facial characteristics. ...

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Facial recognition and classification for customer information systems: a feature fusion deep learning approach with FFDMLC algorithm

... • Immutability: Regarding immutability, changes within the network can create security and privacy complications [13].Blockchain technology provides a ledger that is immutable, which is advantageous for ensuring auditability and fostering trust. Nonetheless, this characteristic of immutability can be problematic, particularly when there's a need to correct or remove data. ...

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A Survey of Blockchain Integration with IoT: Benefits, Challenges and Future Directions

... Samson Chan et.al., [10] developed algorithm is used to select the data from an image file of a CTG waveform printout to a useful signal Yuqing Que et.al., [11] designed an algorithm selects the fetal heart rate characteristic parameters based on time domain analysis. Jarle Urdal et.al., [12] suggested an analysis framework to study the FHR development using the median FHR of all measured heart rates within a 10-min window Jayashree et.al., [13] proposed his algorithm by selection the CTG signal in terms of gridded background image. By assessing the linear time and frequency techniques, S. Boudet et.al., [14] used different matlab comments and 12 re-coded literature methods for fetal heart rate analysis. ...

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An Automated Approach For Detecting Fetal Stress Using Ctg Signal

... Carrera et al. [7] proposed efficient algorithms for the detection of blood vessels, microaneurysms, the optic disc, and hard exudates then using an SVM classification to classify the grade of non-proliferative diabetic retinopathy at any retinal image. Jayashree et al. [18] analyzed the diabetic retinopathy using Particle swarm optimization Feature Selection algorithm on three different Classifiers SVM, Random Forest, decision Tree. ...

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Hybrid Deep Learning Models for Diabetic Retinopathy Classification

... Corrado et al. [1] believe that inclusive finance refers to a new financial service generated by absorbing non-bank users outside the financial system [1]. Hong et al. [2] believe that inclusive finance means that low-income, poor, and vulnerable groups can enjoy financial services such as credit at an affordable cost [2]. Bai et al. [3] believe that inclusive finance is a financial service that highlights the humanistic concept of finance and emphasizes that the public can share the fruits of financial development [3]. ...

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The Impact of Inclusive Finance on High-Quality Economic Development of the Yangtze River Delta in China

... To achieve professional excellence, professional counsellors must be able to successfully manage the accumulation of emotions and work-related stress in line with the use of appropriate information and communication technology (ICT). Those with higher levels of emotional intelligence are better able to cope with emotionally charged and highly stressful work situations (Zhao et al., 2021). In addition, the use of technology in counselling can be challenging, arousing counsellors' negative feelings towards their jobs. ...

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Emotional Intelligence and Self-Efficacy as Determinants of ICT Competence among Professional Counselors in Kwara State, Nigeria

... In research [26], scientists used decision trees, gaussian NB, and linear regression models to get an accuracy of 82.75%. In another study, particle swarm optimization adopted selected features [27]. ...

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Journal of Population Therapeutics & Clinical Pharmacology A HYBRID ENSEMBLE FRAMEWORK FOR CARDIAC DISEASE RISK STRATIFICATION WITH MACHINE LEARNING

... Concepts in Telemedicine were tested as early as 2008 (Al-Kadi 2012), and in 2009, implementations of Telemedicine solutions were offered to assist in diabetes management (Al-Kadi 2012; Dawood and AlKadi 2023). (Vision 2030(Vision 2016. In this plan, healthcare was classified as a top priority, and a commitment to adopt digital health technologies to improve healthcare delivery and outcomes was issued (Vision 2030(Vision 2016Nation Transformation Program 2022). ...

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The Emergence and Growth of Digital Health in Saudi Arabia: A Success Story