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Prize-Collecting Steiner Tree (PCST) is a generalization of the Steiner Tree problem, a fundamental problem in computer science. In the classic Steiner Tree problem, we aim to connect a set of vertices known as terminals using the minimum-weight tree in ...

Financial statements are analytical reports published periodically by financial institutions explaining their performance from different perspectives. As these reports are the fundamental source for decision-making by many stakeholders,...

Automatic image annotation (AIA) is a mechanism for describing the visual content of an image with a list of semantic labels. Typically, there is a massive imbalance between positive and negative tags in a picture—in other words, an image includes ...

Text style transfer aims at transforming the style of a piece of text while keeping its primary content. The style of the text is usually defined as a particular writing tone in different categories, such as formality, politeness, sentiment, and ...

Word embedding is the process of converting words into vectors of real numbers which is of great interest in natural language processing. Recently, the performance of word embedding models has been the subject of some studies in emotion analysis. ...

There is a huge and growing gap between the speed of accesses to data stored in main memory vs cache. Thus, cache misses account for a significant portion of runtime overhead in virtually every program and minimizing them has been an active research ...

Based on psychologists’ theories, an individual’s handwriting somehow symbolizes a type of personality trait that can be a projection of the person’s innate. A person’s handwriting is the result of an organized system and has scientific bases that ...

Recompression is a prevalent form of multimedia content manipulation. Different approaches have been developed to detect this kind of alteration for digital images of well-known JPEG format. However, they are either limited in performance or ...

People's safety is threatened by the repetition of critical events. Many people lose their lives due to unprofessional rescue operation as well as time pressure of the rescue operation. A key problem in urban search and rescue teams, considering the ...

Blind image steganalysis is exploring body of digital images for the likely presence of hidden secret messages without knowledge of the employed steganographic technique. This paper proposes a novel image steganalysis technique to attack spatial domain ...

This paper presents a novel technique to discover double JPEG compression traces. Existing detectors only operate in a scenario that the image under investigation is explicitly available in JPEG format. Consequently, if quantization information of JPEG ...

We introduce a machine learning approach for distinguishing between integrated circuits fabricated in a ratified facility and circuits originating from an unknown or undesired source based on parametric measurements. Unlike earlier approaches, which seek ...

Yield estimation is an indispensable piece of information at the onset of high-volume manufacturing (HVM) of a device. The increasing demand for faster time-to-market and for designs with growing quality requirements and complexity, requires a quick and ...

The current double JPEG compression detection techniques identify whether or not an JPEG image file has undergone the compression twice, by knowing its embedded quantization table. This paper addresses another forensic scenario in which the quantization ...

Yield estimation is an indispensable piece of information at the onset of high-volume production of a device. It can be used to refine the process/design in time so as to guarantee high production yield. In the case of migration of production of a ...

Yield estimation is an indispensable piece of information at the onset of high-volume production of a device. It can be used to refine the process/design in time so as to guarantee high production yield. In the case of migration of production of a ...

A new variant of Differential Evolution (DE), called ADE-Grid, is presented in this paper which adapts the mutation strategy, crossover rate (CR) and scale factor (F) during the run. In ADE-Grid, learning automata (LA), which are powerful decision ...

One of the major challenges in the area of wireless sensor networks is simultaneously reducing energy consumption and increasing network lifetime. Efficient routing algorithms have received considerable attention in previous studies for achieving the ...

In the present research work, fabrication of YSZ-CNTs composite system through alkoxide sol-gel processing was evaluated, in an attempt to improve its mechanical properties. Nanocomposites containing 0.5-2 wt% MWCNTs were then fabricated through the ...

In this paper, a general architecture is proposed for developing embodied conversational agents with fuzzy ontology knowledge base. The proposed architecture enables agents to interact with the user via multimodal channels in a virtual reality ...