Hierarchical attention-based CNN for deceptive spam review detection

Abstract Deceptive spam reviews affect purchase decision of consumers and decision-making of merchant. As a matter, it seriously affects fair competition of online market. Existing measures to detect deceptive spam reviews mainly focus on designing features from the perspective of linguistic and psychological cues, which hardly reveal the latent semantic information of the reviews. We … Read more

Web services attacks

The article by Marco Vieira and Nuno Antunes explain that web services in the current decade are prone to malicious attacks given their faulty software security system. Additionally, the invention of automated tools has guaranteed effective penetration testing and protection ensuring that such faults are avoided (Antunes and Vieira 2014). Despite these developments, new analysis … Read more

Location Detection of Downed or Broken power line Fault not touching the ground by Hybrid AD Method

Abstract: Occurrence of open-circuit faults is common in power transmission and distribution system. Finding exact location of Downed or Broken power line Fault not touching the ground in High voltage and low voltage is one of the most important issues in power system. Till now so many methods to finding location of power line open- … Read more

Finger vein verification system using convolutional neural networks technique

1  Introduction Biometric is the science of verifying and establishing the identity of an individual through physiological features (fingerprint, hand vein, face and finger vein) or behavioral traits (handwriting, speech, and signature), for automatic recognition ((Singh et al.,2016; Malik et al. 2013). The law enforcement agencies  was first abducted biometric systems  in 1970s to investigate … Read more

TARGET TRACKING FOR NOVEL TRACE BASED GEOCAST REGION

TARGET TRACKING FOR NOVEL TRACE BASED GEOCAST REGION USING NEIGHBORING IN WIRELESS AD HOC NETWORK Abstract In ad hoc network, Geocast tracking is strongly together to the requirements of a data gathering task, and hereafter the request semantics. This paper presents the novel trace based Geocast region tracking mechanism, in which mechanism is expressed as … Read more

The Analysis of Emotional Suppression and Cognitive Reappraisal

Abstract—Emotion Regulation is just one of the many activities, we as humans perform to interact amicably amongst ourselves. The attempts we do to influence our emotions and control how we express and experience the emotions can be categorized under emotion regulation. This study aims to analyze two particular emotion regulation strategies, namely expressive suppression and … Read more

Incremental Hybrid Intrusion Detection Using Ensemble of weak classifiers

Abstract’ In this paper, an incremental hybrid intrusion detection system is introduced. This system combines incremental misuse detection and incremental anomaly detection. It can learn new classes of intrusions that are not exist in the training dataset for incremental misuse detection. As the framework has low computational complexity, it is suitable for real-time or on-line … Read more

HAND GESTURE RECOGNITION: A LITERATURE REVIEW

ISSUES TO HAND GESTURE RECOGNITION Extraction method and pre-processing Segmentation process is the first process for the recognition of hand gestures. It is the process of dividing the input image (in this case hand gesture image) into regions separated by boundaries. The segmentation process depends on the kind of gesture provided, if it is dynamic … Read more

Dex­Net

Dex­Net on large has been a promising venture. It was created by Jeff Mahler and Prof. Ken Goldberg and is currently maintained by the Berkeley AUTOLAB. To summarise, it draws together code, datasets and algorithms for “generating datasets of synthetic point clouds, robot parallel­jaw grasps and metrics of grasp robustness based on physics for thousands … Read more

Natural Language Processing (reflection on lecture)

SECTION 1 Although many of the lectures in CS1 were eye-opening and engaging, the lectures given by Professor Kai-Wei Chang on Natural Language Processing and Professor Harry Xu on Big Data were the most interesting to me. Professor Kai-Wei Chang’s lecture on natural language processing greatly influenced my understanding of computer science. Before coming to … Read more

System For Easy Bus Ticketing-Tracking & Passenger counting

Abstract— Wireless sensor networks have quality to provide remote monitoring capabilities that can benefit in controlling crowd, bus monitoring, and ticketing. Radio Frequency Identification is one of the exciting technologies that effectively improves the working practices by increasing efficiencies. It is often presented as a replacement for today’s barcode system, but the technology have much … Read more

Shopping Helper Application

Abstract: The world has become more dependent on smart devices, whether through communication, transportation, and search for an information or even entertainment. From this point, our business application helps shopping and facilitates the process for the consumer. Chapter 1 Introduction 1.1 Introduction: This mobile application is one of the applications which provide easy and accurate … Read more