Graphics processing units (GPUs) are widely used in the area of scientific computing. While GPUs provide much higher peak performance, efficient implementation of real applications on the GPU architectures is still a ...
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Bangla text sentiment analysis is one of the challenges of recent years. Various machine learning and deep learning approaches have been made to further improve the classification models' performance to achieve st...
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ISBN:
(纸本)9781450398329
Bangla text sentiment analysis is one of the challenges of recent years. Various machine learning and deep learning approaches have been made to further improve the classification models' performance to achieve state-of-the art results. Since text sentiment analysis is a sequential task, Long Short-term memory have provided great results in these cases. In this paper, we propose a methodology to tweak an existing LSTM model to gain further improvement in results. As Bengali Text Sentiment analysis is a sequence-to-one task, we discuss how using the features of the entire sequence generated from LSTM along withthe last hidden state's output can improve the results. We compare with a single LSTM layer where the last hidden state is used for producing the final result with our methodology where also a single LSTM layer is used but with additional feature engineering and multi-supervision is applied on the generated sequence and final hidden state to produce the results. Our final results show that adding these tweaks to an existing LSTM layer can increase the overall performance of the model.
the existing parallel grasping and self-adaptive gripper cannot realize the straight-line trajectory movement at the end finger segment, resulting in a grasping blind zone. To solve this problem, this article proposes...
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During a manufacturing process, hard disk drive (HDD) might be contaminated by some materials such as Quartz and Silica Gel. these contaminations induce a major failure in the HDD. Identifying them is a necessary appr...
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Withthe development of artificial intelligence, image recognition technology has been applied to various aspects of life, such as license plate recognition. License plate recognition has many application scenarios in...
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According to the World Health Organization, Dementia, a chronic, degenerative condition that affects 55 million people worldwide, is prevalent in seniors. To date, there is no cure for dementia, so recent advancements...
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ISBN:
(纸本)9798400717345
According to the World Health Organization, Dementia, a chronic, degenerative condition that affects 55 million people worldwide, is prevalent in seniors. To date, there is no cure for dementia, so recent advancements in this area emphasize the urgent need for detecting early symptoms to facilitate timely intervention strategies. As dementia starts by damaging neurons in parts of the brain responsible for memory, language, and thinking, the analysis of language sample could potentially offer a promising avenue for detecting subtle cognitive shifts that could allow the possible interventions to slow down the disease's progression and improve the life of the individuals. We document this paper to explore the potential of leveraging speech and text data for detecting early-stage dementia by leveraging semantic, syntactic, and acoustic features. this paper surveys natural language processing (NLP) techniques applied to speech, text, audio, and handwritten data in monolingual and multilingual settings, focusing on their potential to aid in the early detection and understanding of dementia. According to our study, most datasets available in this domain are in English, withthe support vector machine being the most frequently used classification method. Interest is also growing in using large language models to identify the signs of cognitive decline based on language patterns.
Ultra Wide Band radar life detection technology has been widely used in life detection in various scenes because of its high life detection accuracy, but it is difficult to extract vital signs in the process of echo s...
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the proceedings contain 30 papers. the special focus in this conference is on Material Engineering and Nanotechnology. the topics include: On the Effect of Magnesium on the Mechanical Properties of Aluminium Alloy 903...
ISBN:
(纸本)9789819636235
the proceedings contain 30 papers. the special focus in this conference is on Material Engineering and Nanotechnology. the topics include: On the Effect of Magnesium on the Mechanical Properties of Aluminium Alloy 9031 (i.e. Modified Aluminium Alloy 3003);Analyzing the Breakdown of the Stokes-Einstein Law in AgI–AgPO3 and M–PO3 (M = Mg, Ca, Sr, Ba) Melts;influence of Particle Shape on Heat Transfer from Plasmonic Gold Nanoparticles to a Matrix;development of an Image processing Method to Determine the Air Void Parameters of Concrete;targeting Colorectal Cancer Using Krantz Aloe (Aloe arborescens) Extract Green Synthesised Chromium Doped Fe3O4 Nanoparticles;Evaluation of Physico-mechanical Properties of LDPE-Based Bubble Wrap and Coconut Coir as Concrete Pavement Tile Reinforcement;formation Mechanism of CaZrO3/ZrO2 Eutectic Solidified Film Using High Power Laser;using parallel Plate Electrode Engineering Techniques for Nondestructive Testing of Timber;effect of Ruthenium on Phase Stability and Superelasticity of Lean TiNb Alloys: Ab-Initio and Experimental Insights;towards Resilient and Sustainable Water and Energy Sectors in Jordan;First Principles Investigation of Binary FCC Pt-Ru and Pt-Ir Alloys;ultrasound-Assisted Extraction of Starch from Taro (Colocasia Esculenta) Peel in Varying Sorbitol Concentration with Pineapple (Ananas Comosus) Leaf Fibers and Rice (Oryza Sativa) Husks as Additives for the Production of Enhanced Bioplastic;waste Vegetable Oil as a Sustainable Additive for Enhancing Asphalt Binder Properties: A Review;utilization of Tilapia Fish Scale (Oreochromis niloticus) for the Production of Collagen-Sodium Silicate Composite Aerogel for Moderate Temperature Insulation;using Radio Wave Sensor for Assessment of Sustainable Road Pavement Incorporated Olive Waste Ash.
Computational fluid dynamics applied to the turbomachinery domain require specialized post-processing functionality. For computational fluid dynamics turbomachinery, we have developed a lightweight post-processing sof...
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Cloud model is an important analysis tool in knowledge engineering. However, it is mainly applied in one or two dimensional data and small-scale data because of complex fitting for its parameters, so it is not suitabl...
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