The proceedings contain 88 papers. The topics discussed include: a survey of sea surface temperature measurement techniques;design for a programmable alarm clock using alphanumeric display (PACAD);a robust algorithm f...
ISBN:
(纸本)9781538615072
The proceedings contain 88 papers. The topics discussed include: a survey of sea surface temperature measurement techniques;design for a programmable alarm clock using alphanumeric display (PACAD);a robust algorithm for the detection of cloning forgery;enhanced elliptic curve cryptographic technique for protecting sensitive attributes in cloud storage;Arduino based auto door unlock control system by android mobile through Bluetooth and Wi-Fi;an optimized filtering technique for the enhancement of digital mammographic images;performance analysis of solar based high step-Up DC–DC converter with various filters;a review on information security program development and management;customer review analytics for business intelligence;and maximum correntropy criteria adaptive filter with adaptive step size.
The proceedings contain 202 papers. The topics discussed include: cogno-detective system for body odor sensing;reduction of dimensionality in structured data sets on clustering efficiency in data mining;a novel bank s...
ISBN:
(纸本)9781509066209
The proceedings contain 202 papers. The topics discussed include: cogno-detective system for body odor sensing;reduction of dimensionality in structured data sets on clustering efficiency in data mining;a novel bank statements reconciliation using message Transfer940 parser;rectangular micro strip antenna design using particle swarm optimization, neural networks and genetic algorithms;nature inspired algorithms for genome subsequence assembly in hadoop;effects of aging on human gait stability;a fuzzy logic based load shedding technique for operation of DG in islanding mode;security in design for testability (DFT);deep learning and IoT for smart agriculture using WSN;enabling rural connectivity: long range Wi-Fi versus super Wi-Fi;personality traits from speech signal using cross-corpus technique;research on license plate recognition using digital image processing;arduino based wireless datalogger for nuclear power plant using processing software;application of fuzzy logic for fault detection and classification in six phase transmission line;an approach towards automated navigation of vehicles using overhead cameras;and improved estimating crop yield for paddy using bayesian networks.
The proceedings contain 210 papers. The topics discussed include: disaster management system leveraging the emerging digital technologies;user centric android application for future world;SyncApp;performance evaluatio...
ISBN:
(纸本)9781509006113
The proceedings contain 210 papers. The topics discussed include: disaster management system leveraging the emerging digital technologies;user centric android application for future world;SyncApp;performance evaluation of distributed framework over YARN cluster manager;PID control of two-stage inverted pendulum;automated content suggestion for document writing;low power VLSI architecture for combined FM0/Manchester encoder for reusability and FM0/Manchester codecs;efficient method for counting and tracking of moving objects through region segmentation;and design of three metasurface acting as left-handed material for reconfigurable antenna.
The proceedings contain 289 papers. The topics discussed include: automatic generation control of three area hydro-thermal power systems with electric and mechanical governor;a new distributed intelligent clustering p...
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ISBN:
(纸本)9781479939725
The proceedings contain 289 papers. The topics discussed include: automatic generation control of three area hydro-thermal power systems with electric and mechanical governor;a new distributed intelligent clustering protocol (ICP) in wireless sensor networks;an effective technique of ranking for mobile robots;identification and classification of fungal disease affected on agriculture/horticulture crops using image processing techniques;comparative analysis of digital image stabilization by using empirical mode decomposition methods;generalized theory for hybridization of evolutionary algorithms;performance evaluation of task scheduling with priority and non-priority in cloud computing;a vary approach to face recognition veritable mechanisms for android mobile against spoofing;and design of embedded system for tracking and locating the patient suffering from Alzheimer's disease.
The proceedings contain 186 papers. The topics discussed include: a cloud-based architecture for big-data analytics in smart grid: a proposal;optical character recognition for scene text detection, mining and recognit...
ISBN:
(纸本)9781479915972
The proceedings contain 186 papers. The topics discussed include: a cloud-based architecture for big-data analytics in smart grid: a proposal;optical character recognition for scene text detection, mining and recognition;domain knowledge enriched framework for restricted domain question answering system;a novel approach to link semantic gap between images and tags via probabilistic ranking;web based security with LOPass user authentication protocol in mobile application;double ended speech enabled system in Indian travel & tourism industry;particle swarm optimization based parameter optimization technique in medical information hiding;application of image processing for a bubble column reactor;a modern avatar of Julius Ceasar and Vigenere cipher;parallel image segmentation using multi-threading and k-means algorithm;an ICMP based secondary cache approach for the detection and prevention of ARP poisoning;and digital image watermarking using fractional Fourier transform via image compression.
Artificial intelligence of Things (AIoT) is an integrated technology that combines Artificial intelligence with the Internet of Things. Due to the large number of nodes in AIoT, which require significant computational...
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ISBN:
(纸本)9798350309461
Artificial intelligence of Things (AIoT) is an integrated technology that combines Artificial intelligence with the Internet of Things. Due to the large number of nodes in AIoT, which require significant computational and communication resources and raise privacy concerns, the combination of federated learning (FL) with AIoT has become a hot research topic. However, the participation of edge nodes requires significant computational and communication overheads, so selfish edge nodes may be reluctant to participate in federated learning, and we need to incentivize nodes to contribute their resources. Therefore, it becomes a challenge to develop an incentive scheme that leads to optimal results with a limited budget. In this paper, we propose an incentive mechanism applied to federated learning to motivate edge nodes to contribute to model training, balancing overhead and model training under limited budget. Specifically, we model the utility between the server and the edge nodes and use the Stackelberg game to obtain the optimal solution of the utility model. Simulation results show that our proposed mechanism has significant performance.
News framing plays a crucial role in shaping public opinion and understanding of events. Traditional news frame analysis relies heavily on manual annotation, which is time-consuming and labor-intensive. This paper pro...
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ISBN:
(纸本)9798350391961;9798350391954
News framing plays a crucial role in shaping public opinion and understanding of events. Traditional news frame analysis relies heavily on manual annotation, which is time-consuming and labor-intensive. This paper proposes a novel deep learning-based method for automatic news frame identification (ANFI). By leveraging a pre-trained Transformer encoder and frame-specific semantic features, ANFI captures the latent semantic structures of news text. It then classifies the text into one of the seven commonly used generic frames: Fact, Conflict, Responsibility, Economic Consequences, Human Interest, Morality, and Leadership. Experimental results on the CNN/Daily Mail dataset demonstrate the effectiveness of our proposed method in identifying news frames automatically. The ANFI model achieves high accuracy and outperforms traditional machine learning baselines. This research provides a new perspective on the application of deep learning techniques in computational journalism and facilitates large-scale news frame analysis.
Odometry estimation plays a key role in facilitating autonomous navigation systems. While significant consideration has been devoted to research on monocular odometry estimation, sensor fusion techniques for Stereo Vi...
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In recent years, there has been a notable increase in scholarly interest focusing on finance forecasting, particularly with the use of computational techniques like machine learning. This study employs bibliometric an...
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In this work, we investigated research identifying different sources causing biases impacting artificial intelligence and machine learning applications. This work evaluated other areas causing unfairness in artificial...
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ISBN:
(纸本)9798350381993;9798350382006
In this work, we investigated research identifying different sources causing biases impacting artificial intelligence and machine learning applications. This work evaluated other areas causing unfairness in artificial intelligence and machine learning-based applications. This work identifies that many avenues still need to be explored. Some future directions and solutions can be taken to mitigate the problem of bias in artificial intelligence and machine learning-based systems. There are still many future directions and solutions that can be taken to mitigate the problem of bias in AI systems. This survey will likely motivate researchers to tackle these issues shortly by observing existing work in their respective fields.
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