Macroeconomic risks can create disruptions among various asset classes globally and has potential to affect investors perception towards any investment alternative and mutual funds in India are not an exception to thi...
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The proceedings contain 64 papers. The topics discussed include: an in-depth exploration of green computing initiatives in information and communication technology (ICT): a systematic literature review;digital transfo...
ISBN:
(纸本)9798331517649
The proceedings contain 64 papers. The topics discussed include: an in-depth exploration of green computing initiatives in information and communication technology (ICT): a systematic literature review;digital transformation in banking: behavioral and technological factors in Indonesia;the mechanism of virtual tourism in directing visit intention;comparative analysis of linear and polynomial regression for predicting body mass index;tuberculosis detection from chest x-rays using convolutional neural network;advanced data storage model with blockchain technology and Huffman algorithm;digital twins for monitoring and simulation of ship hull structures: a maritime engineering perspective;and breast cancer detection using ResNet and DenseNet architecture.
Alternating Direction Method of Multipliers (ADMM) is an effective method for solving separable convex optimization problems. In this paper, the method is extended to solve Sylvester equations with nonnegative constra...
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The role of Artificial Intelligence (AI) in Cyber Security is evolving day by day. For a Chief information Security Officer (CISO), to perform their role and to assist their team in performing various tasks related to...
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With the large-scale development of the power internet of things (PIoT), the demand for data collection and processing is also increasing rapidly. Integrated sensing and communication (ISAC) is the key to problem-solv...
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ISBN:
(纸本)9798350388350;9798350388343
With the large-scale development of the power internet of things (PIoT), the demand for data collection and processing is also increasing rapidly. Integrated sensing and communication (ISAC) is the key to problem-solving. In this paper, we consider ISAC devices capable of simultaneously sensing multiple targets and offloading the collected sensing data to mobile edge servers (MEC) for edge computing. To this end, we propose a joint optimization problem that maximizes the total computation rate by optimizing radar sensing beamforming, offloading transmission beamforming, and computation rate. Due to the coupling of variables, the optimization problem becomes non-convex. To address this, we perform quadratic transformations on non-convex constraints and introduce residuals to improve the convergence speed of the algorithm. Simulation results demonstrate that the proposed algorithm achieves higher computation rate compared to baseline algorithms.
Massive multiple input multiple output (M-MIMO) technology plays a pivotal role in fifth-generation (5G) and beyond communication systems, offering a wide range of benefits, from increased spectral efficiency (SE) to ...
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ISBN:
(纸本)9798350361261;9798350361278
Massive multiple input multiple output (M-MIMO) technology plays a pivotal role in fifth-generation (5G) and beyond communication systems, offering a wide range of benefits, from increased spectral efficiency (SE) to enhanced energy efficiency and higher reliability. However, these advantages are contingent upon precise channel state information (CSI) availability at the base station (BS). Ensuring precise CSI is challenging due to the constrained size of the coherence interval and the resulting limitations on pilot sequence length. Therefore, reusing pilot sequences in adjacent cells introduces pilot contamination, hindering SE enhancement. This paper reviews recent advancements and addresses research challenges in mitigating pilot contamination and improving channel estimation, categorizing the existing research into three broader categories: pilot assignment schemes, advanced signal processing methods, and advanced channel estimation techniques. Salient representative pilot mitigation/assignment techniques are analyzed and compared in each category. Lastly, possible future research directions are discussed.
We propose deep photonic time-delay-reservoir-computing for accelerated information processing. Experimental evaluation using image classification demonstrated a sixfold increase in processing speed with only a 0.6% p...
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Aspect computing promises the capability to provide instant network forensics via the computation of dispensed disbursed datasets of time-series information accumulated by using allotted shrewd area nodes cooperating ...
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Agricultural disease detection using convolutional neural networks enhances crop yield by providing early and accurate identification of diseases, mitigating crop losses and boosting productivity. While traditional ma...
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Deep learning, with its powerful computing and processing capabilities for data, is increasingly being applied in the design and regulation of metasurface and other tasks. This article proposes a method for freely adj...
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