Abstract The ever-increasing social media users has dramatically contributed to significant growth as far the volume of online information is concerned. Often, contents that these put in can give valuable insights on their personalities (e.g., terms predicting job satisfaction, specific preferences, well success professional and romantic relationship) getting it without hassle taking formal personality test. Termed prediction, process involves extracting digital content into features mapping...

Abstract Automatic keyphrase extraction techniques aim to extract quality keyphrases for higher level summarization of a document. Majority the existing are mainly domain-specific, which require application domain knowledge and employ order statistical methods, computationally expensive large train data, is rare many applications. Overcoming these issues, this paper proposes new unsupervised technique. The proposed technique, named TeKET or Tree-based Keyphrase Extraction Technique ,...

Wireless technology is advancing rapidly with time. People are doing research nowadays mostly in the field of telecommunication. VANET most growing area wireless communication. With advancement and maturity VANET, there will be a great revolution communication terms fast handovers, network availability, security, safety use advanced applications etc. passage time but many issues that has to addressed make more vigorous. In view aforesaid, this paper we have studied discussed various works...

As one of the gatekeepers quality software systems, requirements' prioritization (RP) is often used to select most important requirements as perceived by system stakeholders. To date, many RP techniques that adopt various approaches have been proposed in literature. identify strengths, opportunities, and limitations these existing approaches, this paper studied analyzed field terms its significance development process based on standard review guidelines Kitchenham. By a rigorous study...

This paper presents a comprehensive overview of the development harmony search (HS) algorithm and its applications. HS is well-known human-based meta-heuristic that mimics process creating new in music. can be applied to different fields research, owing ability balance between exploitation (i.e., searching around known best) exploration roaming entire space). Thus, numerous studies have been conducted utilize real-world optimization problems, many variants hybrid algorithms developed cope...

The sine-cosine algorithm (SCA) is a new population-based meta-heuristic algorithm. In addition to exploiting sine and cosine functions perform local global searches (hence the name sine-cosine), SCA introduces several random adaptive parameters facilitate search process. Although it shows promising results, process of vulnerable minima/maxima due adoption fixed switch probability bounded magnitude (from -1 1). this paper, we propose hybrid Q-learning sine-cosine- based strategy, called...

Interaction testing can be used to effectively detect faults that are otherwise difficult find by other techniques. However, in practice, the input configurations of software systems subjected constraints, especially case highly configurable systems. Handling constraints and efficiently combinatorial interaction is a challenging problem. Nevertheless, researchers have attacked this challenge through different techniques, much progress has been achieved past decade. Thus, it useful reflect on...

The application of meta-heuristic algorithms for t-way testing has recently become prevalent. Consequently, many useful have been developed on the basis implementation strategies (where t indicates interaction strength). Mixed results reported in literature to highlight fact that no single strategy appears be superior compared with other configurations. hybridization two or more can enhance overall search capabilities, is, by compensating limitation one algorithm strength others. Thus,...

A keyphrase extraction technique endeavors to extract quality keyphrases from a given document, which provide high-level summary of that document. Except statistical approaches, all other approaches are either domain-dependent or require sufficient amount training data, rare at present. Therefore, in this paper, new tree-based automatic is proposed, domain-independent and employs nominal knowledge; but no train data required. The proposed extracts through forming tree candidate keyphrase;...

Most metaheuristic algorithms, including harmony search (HS), suffer from parameter selection. Many variants have been developed to cope with this problem and improve algorithm performance. In paper, a hybrid of HS grey wolf optimizer (GWO) has solve the Then, modified version opposition-based learning technique applied exploration because easily gets trapped into local optima. Two parameters were automatically updated using GWO, namely, pitch adjustment rate bandwidth. The proposed for...