The objective of AI-based resume screening is to automate the process, and text, keyword, named entity recognition extraction are critical. This paper discusses segmenting resumes in order extract data perform text analysis. raw CV file has been imported, cleaned remove extra spaces, punctuation stop words. To names from resumes, regular expressions used. We have also used spaCy library which c...

Hazard recognition assisted by human–machine collaboration (HMC) techniques can facilitate high productivity. Human–machine promote safer working processes reducing the interaction between humans and machines. Nevertheless, current HMC acquire human characteristics through manual inputs to provide customized information, thereby increasing need for an interactive interface. Herein, we propose i...

In this paper we study External A*, a variant of the internal A* algorithm that employs external memory. The approach applies to implicit, undirected, unweighted state space problem graphs with consistent estimates. The complexity of the External algorithm is almost linear in external sorting time and accumulates to O(sort(|E|) + scan(|V |)) I/Os, where V and E are the set of nodes and edges in...

Molecular recognition through the noncovalent association of biomolecules is of central importance in biology and pharmacology. Developing reliable computational methods for estimating binding thermodynamic parameters is therefore of great practical value. However, considerable uncertainty remains regarding the external entropy that is associated with the reduction in the external (positional a...

We present a new system for the recognition of cursive handwriting that is based on a perceptive model and neural networks. At the high level, our system takes into account several psychological effects such as the word superiority effect. At the low level, it utilizes a global feature extraction method which models how some features might be preattentively detected by the human visual system. ...

Eye gaze and gesture form key conversational grounding cues that are used extensively in face-to-face interaction among people. To accurately recognize visual feedback during interaction, people often use contextual knowledge from previous and current events to anticipate when feedback is most likely to occur. In this paper, we investigate how dialog context from an embodied conversational agen...

High accuracy target recognition and tracking systems using a single sensor or a passive multisensor set are susceptible to external interferences and exhibit environmental dependencies. These difficulties stem mainly from limitations to the available imaging frequency bands, and a general lack of coherent diversity of the available target-related data. This paper proposes an active multimodal ...