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Large-Scale Weakly Labeled Semi-Supervised Sound Event Detection in Domestic Environments
TLDR
This paper presents DCASE 2018 task 4.0, which evaluates systems for the large-scale detection of sound events using weakly labeled data (without time boundaries) and explores the possibility to exploit a large amount of unbalanced and unlabeled training data together with a small weakly labeling training set to improve system performance.
Combination of antennas and solar cells for satellite communications
TLDR
This paper presents a probabilistic analysis of the response of the immune system to Tournaisian infectious disease to treat central nervous system disorders.
CADP: A Novel Dataset for CCTV Traffic Camera based Accident Analysis
TLDR
A novel dataset for traffic accidents analysis is presented to resolve the lack of public data for research about automatic spatio-temporal annotations for traffic safety in the roads and to integrate contextual information into conventional Faster R-CNN using Context Mining and Augmented Context Mining to complement the accuracy for small pedestrian detection.
Multimodal Behavioral Markers Exploring Suicidal Intent in Social Media Videos
TLDR
Analysis reveals that frequent silences, slouched shoulders, rapid hand movements and profanity are predominant multimodal behavioral markers indicative of suicidal intent in individuals at higher risk of suicidal attempt.
Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture
TLDR
Tartan is a non-goal-oriented socialbot focused around providing users with an engaging and fluent casual conversation that combines script-like yet dynamic responses with data-based generative and retrieval models.
Audio-Visual Scene-Aware Dialog and Reasoning using Audio-Visual Transformers with Joint Student-Teacher Learning
TLDR
A new task that includes temporal reasoning and a new extension of the AVSD dataset for DSTC10, for which human-generated temporal reasoning data is collected and a baseline system built using an AV-transformer is introduced, which is released along with the new dataset.
Application of 8D Methodology for Minimizing the Defects in Manufacturing Process: A Case Study
This paper has focused on two objectives. The first objective is to study the 8D methodology which is an 8 disciplinary approach. It consist of 8-steps to be followed by quality improvement team for
Extraction of Proteases from Medicinal Plants and their Potential as Anti-Viral Targets
TLDR
The results showed that protease at particular pH of PBS buffer range of these medicinal plant leaves on virally infected human whole blood samples showed anti-viral activity.
Overview of Audio Visual Scene-Aware Dialog with Reasoning Track for Natural Language Generation in DSTC10
TLDR
A third AVSD challenge is proposed, at DSTC10, with two modifications: 1) the human-created description is unavailable at inference time, and 2) systems must demonstrate temporal reasoning by finding evidence from the video to support each answer.
FIBER OPTIC APPLICATIONS IN SOLAR POWER PLANT
The solar power is the one of the fast growing renewable energy source in India and in the world. India, in particular, has solar power generation with present installed capacity of over 1400 MW. A
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