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ISSN: 2666-3074

Progress and prospects of data-driven stock price forecasting research

•Stock price prediction has become an important research direction in the field of cognitive computing in engineering.•The article reviews the literature on stock price forecasting methods, and classifies...

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Judicial nested named entity recognition method with MRC framework

•Introduce the machine reading comprehension framework into the named entity recognition in the judicial field, and propose a method based on the machine reading comprehension, which effectively solves...

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Stock price predictive analysis: An application of hybrid Barnacles Mating Optimizer with Artificial Neural Network

•Barnacles Mating Optimizer is used to optimize the weight and bias of ANN.•BMO-ANN is incorporated for time series data of stock price prediction.•Promising results of BMO-ANN in terms of obtaining...

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The Research on Relative Knowledge Distances and Their Cognitive Features

•The notion of relative fuzzy knowledge distances is first explored in light of relative cognitive principles in this paper.•The transformation difficulty depicts between any two fuzzy knowledge is...

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COVINet: A hybrid model for classification of COVID and Non-COVID pneumonia in CT and X-Ray imagery

The COVID-19 pandemic has resulted in a significant increase in the number of pneumonia cases, including those caused by the Coronavirus. To detect COVID pneumonia, RT-PCR is used as the primary detection...

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Human-like evaluation by facial attractiveness intelligent machine

•We present an intelligent system to learn the concept of women's facial attractiveness and generate a human-like predictor for ranking attractiveness.•The results clearly show that facial attractiveness...

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Continuous word level sign language recognition using an expert system based on machine learning

•A sign language database consisting of 80 classes was created.•Classification was performed using two approaches, namely, SVM with mediapipe and YOLOv4.•An expert system was designed which combined...

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A novel coal-rock cutting state identification model based on the Internet of Things

•A coal-rock cutting numerical simulation approach is applied for realizing the acquisition of various heterogeneous data.•Three time-domain parameters are selected as the characteristic vector that...

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Strategies for classifying water quality in the Cauvery River using a federated learning technique

•The article proposed a novel federated machine learning approach to predict water quality.•This method is based on client-server distributed machine learning technique.•The model is effectively utilized...

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A Delay-Tolerant low-duty cycle scheme in wireless sensor networks for IoT applications

Energy efficiency is an existing research challenge in wireless sensor networks (WSNs); to make WSNs energy efficient, many researchers moved to low-duty cycle WSNs with different data forwarding schemes....

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Clock synchronization in industrial Internet of Things and potential works in precision time protocol: Review, challenges and future directions

•This research investigated and analyzed IEEE 1588 PTP-based synchronization methods for IoT and industrial applications in depth.•The efficiency and working principle of different time synchronization...

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Amalgamation of Blockchain with resource-constrained IoT devices for healthcare applications – State of art, challenges and future directions

•The traditional IoT based medical services suffer from several challenges such as data security, privacy, interoperability, single point of failure, scalability, and data integrity.•Research article...

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ARTIFICIAL INTELLIGENCE-ENABLED KNOWLEDGE MANAGEMENT USING A MULTIDIMENSIONAL ANALYTICAL FRAMEWORK OF VISUALIZATIONS

To better manage human resources (HR), companies are increasingly incorporating artificial intelligence (AI) and other AI-based tools into their HR management (HRM) strategies, at a universal scale....

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Mining user's navigation structure by filtering impurity nodes for generating relevant predictions

•We address the problem of noisy navigations in web navigation prediction models and proposed four pruning models, Gini-Index based Modified Markov Model (GIM3), Entropy based Modified Markov Model...

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New hybrid decentralized evolutionary approach for DIMACS challenge graph coloring & wireless network instances

•New hybrid decentralized evolutionary approach that applies the fixed colors & reduces the edge conflicts.•Minimizes the complexity and converges to the optimal solution within a minimal time.•Minimum...

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Innovative augmented and virtual reality applications for disease diagnosis based on integrated genetic algorithms

•This comprehensive paper proposes a method for detecting diseases using Audio Reality/Virtual Reality (AR/VR) techniques.•The study integrates Genetic Algorithm (GA), Ant Colony Optimization (ACO),...

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Periocular Region based Gender Identification using Transfer Learning

•Proposes a gender identification model from periocular region.•Pre-trained CNN models through transfer learning are used.•The concept of mirror image is used.•The models are trained on either left...

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Optimization for position and rating of distributed generating units using bacteria foraging algorithm to reduce power losses

•In BFO, faster convergence and better spree of solutions is possible because of combined working of pareto supremacy mechanism and health categorization approach.•Unfeasible border solutions are utilized...

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Technology-Assisted Language Learning Adaptive Systems: A Comprehensive Review

•Comprehensive review of trends and development of technology-assisted language learning (TALL) adaptive systems is presented.•Resulting studies have been analyzed from three dimensions viz. spatial...

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An ensemble machine learning based bank loan approval predictions system with a smart application

Banks rely heavily on loans as a primary source of revenue; however, distinguishing deserving applicants who will reliably repay loans presents an ongoing challenge. Conventional selection processes...

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Transformer based Answer-Aware Bengali Question Generation

•Explored answer-aware Question generation (QG) text generation for a low-resource language, Bengali.•Trained multilingual and monolingual T5 models to generate questions.•Compared the impact of the...

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Research on the standardization strategy of granular computing

As intelligent systems continue to evolve, problems are becoming increasingly complex. The constant abundance of data puts a higher demand on the value of data utilization. Granular computing is a new...

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Region based medical image encryption using advanced zigzag transform and 2D logistic sine map (2DLSM)

•The proposed system offers an encryption method for any quantity and size of multiple medical images. Medical images in color as well as in grayscale can be encrypted using this approach.•Region of...

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Design of improved deer hunting optimization enabled multihop routing protocol for wireless sensor networks

•This study introduces an improved deer hunting optimization enabled multihop routing (IDHO-MHR) protocol for WSN.•In addition, the IDHO-MHR technique primarily derives a fitness function with the inclusion...

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EDFA: Ensemble deep CNN for assessing student's cognitive state in adaptive online learning environments

Ensuring student engagement is crucial for effective learning outcomes in any classroom setting, including e-learning environments. However, the absence of immediate supervision in online classes makes...

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