Brain status information is captured by physiological electroencephalogram (EEG) signals, which are extensively used to study different brain activities. This investigates the use of a new ensemble classifier detect an epileptic seizure from compressed and noisy EEG signals. noise-aware signal combination (NSC) combines four classification models based on their individual performance. The main objective proposed enhance accuracy in presence incomplete while preserving reasonable amount...

Current lifestyles promote the development and advancement in wireless technologies, especially Wireless Sensor Networks (WSN) due to its several benefits. WSN offers a low cost, data rate, flexible routing, longer lifetime, low-energy consumption suitable for unmanned long term monitoring. Among huge applications, some key applications are smart houses, environmental monitoring, military other monitoring applications. As result, ubiquitous increase number of devices occupying 2.4GHz...

Introduction: Blockchain technology has emerged as a cornerstone for innovation in the field of information systems, offering secure, decentralized, and transparent solutions to address complex challenges smart city development. This paper explores transformative potential blockchain advancing cities, focusing on its ability integrate with Internet Things (IoT) enable secure data management, optimize urban services. Key challenges, such scalability, interoperability, regulatory frameworks,...

Abstract In order to realize the collision and fusion of Yi clothing culture modern design in Liangshan, China, this paper proposes innovative strategies pattern cutting color feature extraction for clothing, respectively, constructs a corresponding implementation model on basis artificial intelligence technology. Based UNet model, segmentation is constructed by integrating multi-scale attention, embedding ASPP ECA combining Lovász-hinge loss function. The network relationship optimized,...

Sentiment could be expressed implicitly or explicitly in the text. Hence, it is main challenge for current sentiment analysis (SA) approaches to identify hidden sentiments, other common challenges include false classification of opinion words, ignoring context information, and bad handling a short text that arise from interpretation lack enough data required tasks. In this study, semantic conceptualization method using tagged bag-of-concepts SA proposed detect correct towards actual target...

Brain is the most important part in human body controlling muscles and nerves; Electroencephalogram (EEG) signals record brain electric activities. EEG capture information pertinent to different physiological states. In this paper, we propose an efficient framework for evaluating power-accuracy trade-off EEG-based compressive sensing classification techniques context of epileptic seizure detection wireless tele-monitoring. The incorporates sensing-based energy-efficient compression, noisy...

Wireless sensor networks (WSNs) are a promising area for both researchers and industry because of their various applications The node expends the majority its energy on communication with other nodes. Therefore, routing protocol plays an important role in delivering network data while minimizing consumption as much possible. chain-based approach is superior to approaches. However, protocols still expend substantial Chain Head (CH) node. In addition, these also have bottleneck issues. A novel...

Wireless body sensor networks (WBSN) provide an appreciable aid to patients who require continuous care and monitoring. One key application of WBSN is mobile health (mHealth) for patient monitoring, acquiring vital signs e.g. EEG, ECG, etc. Such monitoring devices are doomed be portable, i.e., batter powered, agile allow mobility, while providing sustainable, energy-efficient hardware platforms. Hence, EEG data compression critical in reducing the transmission power, hence increase battery...

Abstract In reality, students learn via eLearning (electronic online learning) system in different ways depending on their learning needs, behaviours as well policy for users. However, most outcome prediction models of systems are still not stable and cannot be applied many situations the use is considered to highly dynamic. Therefore, objective this work understand if can predicted based usage by exploiting Moodle log data. To it, features from web course-student being considered, a number...

Steganography is one area in information security that able to conceal the secret message any media avoid intruders. In this paper, review of steganography done certain such as image, text, audio, and video. It analyses some techniques applied discover development cover a message. expected paper describe implementation by previous researchers on their efforts.Â

Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems. Classification most technique wide-ranging applications to categorize items according its features with respect predefined set classes. In this paper, we conduct a performance evaluation based on noiseless and noisy EEG-based data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, VFI. The...

This paper discusses the framework of IT (Information Technology) governance in public sector organizations and factors that contribute to implementation province Gorontalo, Indonesia. The problem occurs is absence such a which can provide basis, functions limits for efficient use resources, strategic alignment management risk organizations. Descriptive approach used identify processes governance. study shows form ensuring success related achieving organizational goals, alignment, resource...

Due to the peculiarity of wireless sensor networks (WSNs), where a group sensors continuously transmit data other or fusion center, it is crucial compress transmitted in order save consumed power, which paramount case portable devices. There exists several techniques for compression such as discrete wavelet transform (DWT) based, fails achieve high ratio an acceptable distortion ratio. In this paper, we explore exploiting Walsh with moving average filtering (MAF) WSNs. One application WSN...