Informal sector convenience stores play a vital role in the economy of African countries. They provide employment and contribute significantly to the economy. Effective sales recording is crucial for these shops as it...
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Major concerns occur in maintaining a sustainable food supply due to population expansion, supply chain interruptions, and climate-related changes. Traditional forecasting models, such as ARIMA, LSTM, and GRU, fail to...
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Opinion summarization recapitulates the opinions about a common topic *** primary motive of summarization is to preserve the properties of the text and is shortened in a way with no loss in the semantics of the *** ne...
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Opinion summarization recapitulates the opinions about a common topic *** primary motive of summarization is to preserve the properties of the text and is shortened in a way with no loss in the semantics of the *** need of automatic summarization efficiently resulted in increased interest among communities of Natural Language Processing and Text *** paper emphasis on building an extractive summarization system combining the features of principal component analysis for dimensionality reduction and bidirectional Recurrent Neural Networks and Long Short-Term Memory(RNN-LSTM)deep learning model for short and exact synopsis using seq2seq *** presents a paradigm shift with regard to the way extractive summaries are *** algorithms for word extraction using assertions are *** semantic framework is well-grounded in this research facilitating the correct decision making process after reviewing huge amount of online reviews,considering all its important features into *** advantages of the proposed solution provides greater computational efficiency,better inferences from social media,data understanding,robustness and handling sparse *** on the different datasets also outperforms the previous researches and the accuracy is claimed to achieve more than the baselines,showing the efficiency and the novelty in the research *** comparisons are done by calculating accuracy with different baselines using Rouge tool.
Polypharmacy is a potential strategy for managing such intricate disorders, encompassing conditions like cancer, diabetes, and age-related issues in older individuals. Nonetheless, when a medication is combined with o...
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With the flexible deployment and high mobility of Unmanned Aerial Vehicles(UAVs)in an open environment,they have generated con-siderable attention in military and civil applications intending to enable ubiquitous conn...
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With the flexible deployment and high mobility of Unmanned Aerial Vehicles(UAVs)in an open environment,they have generated con-siderable attention in military and civil applications intending to enable ubiquitous connectivity and foster agile *** difficulty stems from features other than mobile ad-hoc network(MANET),namely aerial mobility in three-dimensional space and often changing *** the UAV network,a single node serves as a forwarding,transmitting,and receiving node at the same ***,the communication path is multi-hop,and routing significantly affects the network’s performance.A lot of effort should be invested in performance analysis for selecting the optimum routing *** this motivation,this study modelled a new Coati Optimization Algorithm-based Energy-Efficient Routing Process for Unmanned Aerial Vehicle Communication(COAER-UAVC)*** presented COAER-UAVC technique establishes effective routes for communication between the *** is primarily based on the coati characteristics in nature:if attacking and hunting iguanas and escaping from ***,the presented COAER-UAVC technique concentrates on the design of fitness functions to minimize energy utilization and communication delay.A varied group of simulations was performed to depict the optimum performance of the COAER-UAVC *** experimental results verified that the COAER-UAVC technique had assured improved performance over other approaches.
Active learning refers to a broad range of teaching and pedagogical strategies that engage students as “partners-in-progress” participants in their learning during class time with their instructors. We discuss some ...
Active learning refers to a broad range of teaching and pedagogical strategies that engage students as “partners-in-progress” participants in their learning during class time with their instructors. We discuss some real-life experiences related to students' engagement in an early introductory course to computer science. In this paper, commonly known best teaching practices such as Active Learning, Problem-Based Learning, and Integrated Learning are implemented and proven to be effective given students' survey responses.
Encephalitis is a brain inflammation *** can yield to seizures,motor disability,or some loss of vision or ***,encepha-litis can be a life-threatening and proper diagnosis in an early stage is very ***,in this paper,we ...
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Encephalitis is a brain inflammation *** can yield to seizures,motor disability,or some loss of vision or ***,encepha-litis can be a life-threatening and proper diagnosis in an early stage is very ***,in this paper,we are proposing a deep learning model for computerized detection of Encephalitis from the electroencephalogram data(EEG).Also,we propose a Density-Based Clustering model to classify the distinctive waves of *** clustering models usually employ a computed single centroid virtual point to define the cluster configuration,but this single point does not contain adequate *** precisely extract accurate inner structural data,a multiple centroids approach is employed and defined in this paper,which defines the cluster configuration by allocating weights to each state in the *** multiple EEG view fuzzy learning approach incorporates data from every sin-gle view to enhance the model's clustering *** a fuzzy Density-Based Clustering model with multiple centroids(FDBC)is *** model employs multiple real state centroids to define clusters using Partitioning Around Centroids *** Experimental results validate the medical importance of the proposed clustering model.
Concept drift is a main security issue that has to be resolved since it presents a significant barrier to the deployment of machine learning(ML)*** to attackers’(and/or benign equivalents’)dynamic behavior changes,t...
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Concept drift is a main security issue that has to be resolved since it presents a significant barrier to the deployment of machine learning(ML)*** to attackers’(and/or benign equivalents’)dynamic behavior changes,testing data distribution frequently diverges from original training data over time,resulting in substantial model *** to their dispersed and dynamic nature,distributed denial-of-service attacks pose a danger to cybersecurity,resulting in attacks with serious consequences for users and *** paper proposes a novel design for concept drift analysis and detection of malware attacks like Distributed Denial of Service(DDOS)in the *** goal of this architecture combination is to accurately represent data and create an effective cyber security prediction *** intrusion detection system and concept drift of the network has been analyzed using secure adaptive windowing with website data authentication protocol(SAW_WDA).The network has been analyzed by authentication protocol to avoid malware *** data of network users will be collected and classified using multilayer perceptron gradient decision tree(MLPGDT)*** on the classification output,the decision for the detection of attackers and authorized users will be *** experimental results show output based on intrusion detection and concept drift analysis systems in terms of throughput,end-end delay,network security,network concept drift,and results based on classification with regard to accuracy,memory,and precision and F-1 score.
This paper provides a thorough review of recommendation methods from academic literature, offering a taxonomy that classifies recommender systems (RSs) into categories like collaborative filtering, content-based syste...
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The IoT -based smart shopping cart system revolutionizes the retail experience by integrating RFID technology, image processing cameras, and weight sensors along with bill generation and payment checkout. RFID scanner...
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