Big Data Analytics
10th International Conference, BDA 2022, Hyderabad, India, December 19–22, 2022, Proceedings
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Article
Integrated predictive QSAR, Read Across, and q-RASAR analysis for diverse agrochemical phytotoxicity in oat and corn: A consensus-based approach for risk assessment and prioritization
In the modern fast-paced lifestyle, time-efficient and nutritionally rich foods like corn and oat have gained popularity for their amino acids and antioxidant contents. The increasing demand for these cereals nec...
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Article
Cognitive workload estimation using physiological measures: a review
Estimating cognitive workload levels is an emerging research topic in the cognitive neuroscience domain, as participants’ performance is highly influenced by cognitive overload or underload results. Different ...
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Article
Open AccessComparing resting state and task-based EEG using machine learning to predict vulnerability to depression in a non-clinical population
Major Depressive Disorder (MDD) affects a large portion of the population and levies a huge societal burden. It has serious consequences like decreased productivity and reduced quality of life, hence there is ...
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Article
Aquatic toxicity prediction of diverse pesticides on two algal species using QSTR modeling approach
With the aim of identification of toxic nature of the diverse pesticides on the aquatic compartment, a large dataset of pesticides (n = 325) with experimental toxicity data on two algal test species (Pseudokirchn...
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Chapter
Role of Target Fishing in Discovery of Novel Anti-Alzheimer’s Agents: In Silico Applications
Alzheimer’s disease (AD) is a chronic neurodegenerative disorder characterized by progressive degeneration in the brain and shrinking (atrophy) of the brain size with the association of multiple factors/target...
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Article
Open AccessDecoding the cognitive states of attention and distraction in a real-life setting using EEG
Lapses in attention can have serious consequences in situations such as driving a car, hence there is considerable interest in tracking it using neural measures. However, as most of these studies have been don...
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Article
Handwriting Recognition Using Wasserstein Metric in Adversarial Learning
Deep intelligence provides a great way to deal with understanding the complex handwriting of the user. Handwriting is challenging due to its irregular shapes, which vary from one user to another. In recent adv...
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Article
Pharmacophore based virtual screening of cholinesterase inhibitors: search of new potential drug candidates as antialzheimer agents
Alzheimer’s disease (AD) is a distinctive medical condition characterized by loss of memory, orientation, and cognitive impairments, which is an exceptionally universal form of neurodegenerative disease. The s...
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Article
Video based exercise recognition and correct pose detection
Human pose estimation has gained significant attention from researchers of the present era. Personal exercise sessions can be monitored and supervised with the help of pose recognition. Existing work on exerci...
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Article
A Review on Automated Cancer Detection in Medical Images using Machine Learning and Deep Learning based Computational Techniques: Challenges and Opportunities
Cancer is one of the most deadly diseases diagnosed among the population across the globe so far. The number of cases is increasing at a high pace each year that subsequently leads to the advancement in differ...
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Chapter and Conference Paper
Concrete Crack Segmentation Using Histogram Based Fast Clustering and Morphological Operators
The problem of routinely detecting complicated cracks on coarse concrete surfaces using image processing is tough activity. Clustering is an efficient and easy unsupervised technique in the image segmentation ...
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Book and Conference Proceedings
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Article
In silico local QSAR modeling of bioconcentration factor of organophosphate pesticides
The persistent and accumulative nature of the pesticide of indiscriminate use emerged as ecotoxicological hazards. The bioconcentration factor (BCF) is one of the key elements for environmental assessments of ...
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Article
Predictive classification-based QSTR models for toxicity study of diverse pesticides on multiple avian species
Protection and restoration of different endangered bird species from pesticide exposure is crucial from the point of safety assessment of ecosystem. Toxicity predictions or risk assessment of pesticides by che...
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Article
3D word spotting using leap motion sensor
Leap motion sensor provides a new way of interaction with computers or mobile devices. With this sensor, users can write in air by moving palm or finger, thus, avoiding traditional pen and paper for writing. T...
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Article
An Efficient Sign Language Recognition (SLR) System Using Camshift Tracker and Hidden Markov Model (HMM)
An efficient Sign Language Recognition (SLR) system could facilitate communication with hearing impaired persons by identifying the sign gestures. Similar to regional spoken languages, different regions have d...
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Article
Logo detection using weakly supervised saliency map
Box level annotation of a large number of logo images for training purpose of typical deep learning architecture is highly challenging. Thus, a method that can detect the logo with the help of training to remo...
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Article
Retrieval of colour and texture images using local directional peak valley binary pattern
Many content-based image retrieval (CBIR) methods are being developed to store more and more information about images in shorter feature vectors and to improve image retrieval rate. In the proposed method, two...
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Article
Open AccessVideo trajectory analysis using unsupervised clustering and multi-criteria ranking
Surveillance camera usage has increased significantly for visual surveillance. Manual analysis of large video data recorded by cameras may not be feasible on a larger scale. In various applications, deep learn...
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Article
Fast Griffin Lim based waveform generation strategy for text-to-speech synthesis
The performance of text-to-speech (TTS) systems heavily depends on spectrogram to waveform generation, also known as the speech reconstruction phase. The time required for the same is known as synthesis delay....
