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Titlebook: Applied Computing for Software and Smart Systems; Proceedings of ACSS Rituparna Chaki,Agostino Cortesi,Nabendu Chaki Conference proceeding

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Gavel: A Sanctioning Enforcement Frameworkctive area of research and achieved high performance of models, those were based on signal and speech which were computationally costlier and text-based research work using a state-of-the-art model called the BERT has achieved an f1-score i.e. 80.65%. This project focuses on text-domain and uses ope
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Jonna Teikari,Martin Baunach,Elke Dittmanneature extraction and Capsule network is used for classification purpose. The experimental results prove that the proposed technique has achieved better accuracy and produced the result with reduced execution time.
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Predicting Useful Information From Typing Patterns Using a Bootstrapped-Based Homogeneous Ensemble Ahieved 93.21% of accuracy in predicting age group, 65.35% in identifying gender, 87.14% for handedness, 77.14% in the case of hand(s) used determination, 91.25% in predicting qualification, 74.44% in recognising typing skill, 58.45% in observing lie, 84.12% in the determination of Parkinson’s diseas
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A Robust Approach to Document Skew Detectione DISEC’13 (ICDAR 2013 Document Image Skew Estimation Contest) database and its performance is comparable with the state-of-the-art results in terms of both accuracy and computation time. Additionally, this skew estimation scheme has been used on a wide variety of other documents of different script
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Community Detection in Large and Complex Networks Using Semi-Local Similarity Measure seeds. Experimental results illustrate that the proposed method exhibits excellent results on real-world and computer generated artificial networks and is superior to the state of the art approaches.
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Evaluation of SVM Kernels with Multiple Uncorrelated Feature Subsets Selected by Multiple Correlatiosal, common uncorrelated feature subsets of three correlation methods are called PSK-uncorrelated feature subsets. The third proposal, common PSK-uncorrelated feature subsets of SNMP and DNS datasets are called Reflection_DDoS uncorrelated feature subsets. SNMP and DNS data sets are collected from t
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BLRS: An Automated Land Records Management System Using Blockchain Technologyn the system, (2) land fragmentation and merging during transfer, (3) classification of lands like industrial, farming, barren, (4) marking lands that are under some court dispute, (5) overall Government monitoring, (6) automated pricing of lands with land search feature, and (7) support of proper p
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Multi-objective Fuzzy Reliability Redundancy Allocation for ,-out-of-, System Using Fuzzy Rank-Based over-speed protection system of gas turbines containing two mutually conflicting reliability and cost objectives with entropy and several other constraints. We present graphically the effect of optimum system reliability and cost with respect to the percentage change of different parameters. We als
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