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Found 52 papers, 1 papers with code
User lung cancer classification using efficientnet from ct scan images
Lung-EffNet is built based on the architecture of EfficientNet and further modified by adding top layers in the classification head of the model.
Blockchain-enabled fraud discovery through abnormal smart contract detection on Ethereum
Therefore, this paper constructs a Heterogeneous Graph Transformer Networks (S_HGTNs) suitable for smart contract anomaly detection to detect financial fraud on the Ethereum platform.
Between-session reliability of skin marker-derived spinal kinematics during functional activities
Background: Skin marker-based analysis of functional spinal movement is a promising method for quantifying longitudinal effects of treatment interventions in patients with spinal pathologies.
Integrated optimization of railway freight operation planning and pricing based on carbon emission reduction policies
To reduce carbon emissions from inland freight, one way is to encourage rail transportation instead of truck transportation.
English to Hindi Multi-modal Neural Machine Translation and Hindi Image Captioning
With the widespread use of Machine Trans-lation (MT) techniques, attempt to minimizecommunication gap among people from di-verse linguistic backgrounds.
WAT2019: English-Hindi Translation on Hindi Visual Genome Dataset
In this paper, we carried out an extensive comparison to evaluate the benefits of using a multimodal approach on translating text in English to a low resource language, Hindi as a part of WAT2019 shared task.
Predicting the hydrogen release ability of LiBH4-based mixtures by ensemble machine learning
The prediction of hydrogen release ability is indispensable to evaluating hydrogen storage performance of LiBH4-based mixtures before experimentation.
Neural Machine Translation: Hindi-Nepali
Also, we have achieved BLEU score 53. 7 (Hindi to Nepali) and 49. 1 (Nepali to Hindi) in contrastive system type.
Denoising of MR images with Rician noise using a wider neural network and noise range division
The first model is specific to a certain noise, while the other applies to a wide range of noise levels.
High performing all-solid electrochemical capacitor using chitosan/poly(acrylamide-co-diallyldimethylammonium chloride) as anion conducting membranes
The aim of the present work is to demonstrate a novel alkaline anion-exchange membrane composed of chitosan (CS) and poly (acrylamid-co-diallyldimethylammonium chloride) (PAADDA) for electrical double layer capacitors (EDLCs).
Automated EEG-based Screening of Depression Using Deep Convolutional Neural Network
It was discovered in this research that the EEG signals from the right hemisphere are more distinctive in depression than those from the left hemisphere.
SCFM: Social and crowdsourcing factorization machines for recommendation
Our approach fuses social and crowd computing into the factorization machine model.
Unidirectional brain to muscle connectivity reveals motor cortex control of leg muscles during stereotyped walking
One sentence summary: Motor cortex proactively drives contralateral swing leg muscles during treadmill walking, counter to the traditional view of stereotyped human locomotion
BUCC2017: A Hybrid Approach for Identifying Parallel Sentences in Comparable Corpora
A Statistical Machine Translation (SMT) system is always trained using large parallel corpus to produce effective translation.
Multimodal Mood Classification - A Case Study of Differences in Hindi and Western Songs
Finally, we developed mood classification systems using Support Vector Machines and Feed Forward Neural Networks based on the features collected from audio, lyrics, and a combination of both.
Word Segmentation in Sanskrit Using Path Constrained Random Walks
In Sanskrit, the phonemes at the word boundaries undergo changes to form new phonemes through a process called as sandhi.
Word Alignment-Based Reordering of Source Chunks in PB-SMT
Reordering poses a big challenge in statistical machine translation between distant language pairs.
