A Short-Term Load Interval Forecasting Method Based on EEMD-SE and PSO-KELM by Lin ZHANG, Jichun LIU

“…Then, the sample entropy (SE) is used to calculate and quantify the complexity of the series, and the series with small SE values are reconstructed. …”
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Short-Term Interval Prediction of Inbound Passenger Flow of Subway Station under Failure Events by Yichao Pu, Xiangdong Xu, Qianqi Fan, Shengyu Zhang, Jilai Chen

“…To address this concern, a three-stage A-LSTM prediction model utilizing an attention mechanism and a double-layer LSTM (Long Short-Term Memory) neural network has been proposed. …”
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A competitive protein interaction network buffers Oct4‐mediated differentiation to promote pluripotency in embryonic stem cells by Silvia Muñoz Descalzo, Pau Rué, Fernando Faunes, Penelope Hayward, Lars Martin Jakt, Tina Balayo, Jordi Garcia‐Ojalvo, Alfonso Martinez Arias

“…We uncover a key role for post‐translational regulation in the maintenance of pluripotency, which complements the well‐established transcriptional regulatory layer. Specifically, we find that the activity of a network of protein complexes involving Nanog, Oct4, Tcf3, and β‐catenin suffices to account for the behavior of ES cells under different conditions. …”
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Deep Learning Model for Analyzing EEG Signal Analysis by Varun Gupta, Vivek Kumar, Prince, Saurabh Singh, Young-Seok Lee, In-Ho Ra

“…To analyze the physiological information within the acquired EEG signal is very cumbersome due to the possibility of several factors, viz. noise and artifacts, complexity of brain dynamics, and inter-subject variability. …”
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Defining a minimal cell: essentiality of small ORFs and ncRNAs in a genome‐reduced bacterium by Maria Lluch‐Senar, Javier Delgado, Wei‐Hua Chen, Verónica Lloréns‐Rico, Francis J O'Reilly, Judith AH Wodke, E Besray Unal, Eva Yus, Sira Martínez, Robert J Nichols, Tony Ferrar, Ana Vivancos, Arne Schmeisky, Jörg Stülke, Vera van Noort, Anne‐Claude Gavin, Peer Bork, Luis Serrano

“…Essentiality of smORFs may be explained by their function as members of protein and/or DNA/RNA complexes. In larger proteins, essentiality applied to individual domains and not entire proteins, a notion we could confirm by expression of truncated domains. …”
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Analysis and prediction of thermo-physical properties in water-based MWCNT-ZnO hybrid nanofluids using ANN and ANFIS models by Surendra D. Barewar, Pritam S. Kalos, Balaji Bakthavatchalam, Mahesh Joshi, Sarika Patil, Mahesh Sonekar

“…Notably, the adaptive neuro-fuzzy modeling method facilitated the resolution of the neural network layer's hidden structure without the need for extensive trial and error.…”
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Elastic Information Management for Air Pollution Monitoring in Large-Scale M2M Sensor Networks by Yajie Ma, Yike Guo, Dilshan Silva, Orestis Tsinalis, Chao Wu

“…The continual increases in size, data generating rates, and connectivity of sensor networks present significant scale and complexity challenges. Traditional schemes of information management are no longer applicable in such a scenario. …”
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PARTS OF ARMS AND ACCOUTREMENTS FROM THE “PALACE CENTER – EAST” SITE AT PLISKA by Valeri Grigorov

“…The site is located in the immediate vicinity of the monumental palace complexes and reflects the dynamics of life in the heart of the medieval city. …”
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Triadic balance and network evolution in predictive models of signed networks by Hsuan-Wei Lee, Pei-Chin Lu, Hsiang-Chuan Sha, Hsini Huang

“…We analyze the impact of these structures on temporal network evolution by incorporating them into exponential random graph models across five networks of varying size, density, and directionality. To address the complexity of multi-layer networks derived from signed networks, we modify the temporal exponential random graph model framework. …”
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Hierarchical Vehicle Scheduling Research on Tide Bicycle-Sharing Traffic of Autonomous Transportation Systems by Mai Hao, Ming Cai, Minghui Fang, Shuxin Jin

“…Compared to existing scheduling methods, HATB has faster convergence and lower time complexity, which improves bike turnaround efficiency and practical application ability, thus making it more convenient for the public to travel during peak hours.…”
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FAULT DIAGNOSIS OF ROLLING BEARINGS BASED ON CHANNEL AND SPATIAL RECONSTRUCTION NETWORKS by ZHOU Tao, YAO DeChen, YANG JianWei

“…Since the fault vibration data collected in real engineering may be accompanied by noise，traditional diagnostic models are difficult to identify fault categories，to address this problem，a rolling bearing fault diagnosis research method based on channel and spatial reconstruction and progressive convolutional neural networks （CSRP-CNN） was proposed.The model utilizes channel and spatial reconstruction convolution （CSConv） to reduce the redundant information of channels and space in fault features，and reduces the complexity and computation to improve the performance； using convolutional block attention module （CBAM），attention enhancement operation was carried out in the channel and spatial dimensions to make the model pay attention to important fault feature information； and progressive convolutional network structure was used in the shallow layer of the network，which will fuse the previous fault feature information fused with the current input to obtain richer feature information.The performance of CSRP-CNN was evaluated by two different datasets of Case Western Reserve University（CWRU）and machinery fault simulator magnum（MFS-MG）.After the noise and ablation tests，it is verified that CSRP-CNN has strong robustness and the effects of CSConv，CBAM and progressive convolutional neural network（PCNN） on the model noise immunity performance.…”
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The subseafloor crustal biosphere: Ocean’s hidden biogeochemical reactor by Alberto Robador

“…Underlying the thick sediment layer in ocean basins, the flow of seawater through the cracked and porous upper igneous crust supports a previously hidden and largely unexplored active subsurface microbial biome. …”
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Fault diagnosis of rolling bearing based on channel and spatial reconstruction networks by ZHOU Tao, YAO Dechen, YANG Jianwei

“…The model utilized channel and spatial reconstruction convolution （CSConv） to reduce the redundant information of channels and space in fault features, and reduced the complexity and computation to improve the performance; using the convolutional block attention module (CBAM), attention enhancement operation was carried out in the channel and spatial dimensions to make the model pay attention to the important fault feature information; and the progressive convolutional network structure was used in the shallow layer of the network, which would fuse the previous fault feature information with the current input to obtain the richer feature information. …”
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Indoor wireless signal coverage and enhancement based on passive reconfigurable intelligent metasurface by Haixia LIU, Hao YI, Xiangjin MA, Shuyao YUE, Xudong KONG, Pei MA, Yuxin ZENG, Long LI

“…Reconfigurable intelligent metasurface (RIS) is a new type of artificial electromagnetic metamaterial, which can control the frequency, amplitude, phase, polarization, propagation direction and wave type of electromagnetic wave flexibly.In the field of wireless communication, RIS can be used to reconstruct the wireless communication channel to achieve blind coverage of wireless signals and improve the communication quality.First, the development and research status of RIS, the key technologies and application scenarios of RIS were summarized and analyzed.Then, a new passive RIS was proposed to realize the characteristics of the aperture reconfiguration and beam reconfiguration through passive coding and splicing principle, which had the advantages of low cost, low power consumption and low complexity.Finally, the blind area coverage enhancement experiment of indoor wireless signal based on passive reflection metasurface was carried out.The effectiveness of passive splicing metasurface in wireless communication blind coverage scenarios was proved by comparison between simulation and field measurement.In addition, for 5G/6G millimeter wave communication, the passive RIS with double-layer cross dipole elements was designed and applied to typical indoor L-shaped corridor scene to verify the enhancement effect of indoor wireless signal coverage.…”
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Effect of Ph on the Physical Properties of ZnIn2Se4 Thin Films Grown by Chemical Bath Deposition by P. Babu, M.V. Reddy, N. Revathi, K.T.R. Reddy

“…ZnIn2Se4 (ZIS) due to its potential applications in various fields, particularly as a buffer layer in the fabrication of heterojuction solar cells. …”
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Operation of Vacuum Arc Thruster Arrays with Multiple Isolated Current Sources by Benjamin Kanda, Minkwan Kim

“…While VATs offer an attractive propulsion solution for CubeSats, conventional propellant feed systems used in VATs require intricate mechanical moving parts, increasing overall system complexity and mission risk. A promising alternative is the use of VAT arrays, where multiple thin-layer VATs are arranged in a regularly spaced grid, thus enhancing reliability, increasing total impulse without a mechanical propellant feed system, and enabling integrated attitude control via off-axis thruster placement. …”
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Lightweight Siamese Network with Global Correlation for Single-Object Tracking by Yuxuan Ding, Kehua Miao

“…Researchers frequently emphasize the precision of trackers, yet they tend to neglect the associated complexity. This oversight can restrict real-time performance, rendering these trackers inadequate for specific applications. …”
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The Impact of Operating System on Bandwidth in Open VPN Technology by Baghdad Science Journal

“…Two main technologies of VPN are to be discussed; IPSec and Open VPN. The complexity of IPSec makes the OpenVPN the best due to the latter’s portability and flexibility to use in many operating systems. …”
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Real-time diagnosis of multi-category skin diseases based on IR-VGG by Ling TAN, Shanshan RONG, Jingming XIA, Sarker SAJIB, Wenjie MA

“…Malignant skin lesions have a very high cure rate in the early stage.In recent years, dermatological diagnosis research based on deep learning has been continuously promoted, with high diagnostic accuracy.However, computational resource consumption is huge and it relies on large computing equipment in hospitals.In order to realize rapid and accurate diagnosis of skin diseases on Internet of things (IoT) mobile devices, a real-time diagnosis system of multiple categories of skin diseases based on inverted residual visual geometry group (IR-VGG) was proposed.The contour detection algorithm was used to segment the lesion area of skin image.The convolutional block of the first layer of VGG16 was replaced with reverse residual block to reduce the network parameter weight and memory overhead.The original image and the segmented lesion image was inputed into IR-VGG network, and the dermatological diagnosis results after global and local feature extraction were outputed.The experimental results show that the IR-VGG network structure can achieve 94.71% and 85.28% accuracy in Skindata-1 and Skindata-2 skin diseases data sets respectively, and can effectively reduce complexity, making it easier for the diagnostic system to make real-time skin diseases diagnosis on IoT mobile devices.…”
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Graph signal processing based pilot pattern design and channel estimation for OFDM system by Bin HE, Guobing LI, Yuan CHEN, Guomei ZHANG

“…Orthogonal frequency division multiplexing (OFDM) is one of the key technologies in the physical layer of the internet of things (IoT).Pilot design and channel estimation are key issues in OFDM systems.In view of the problem of performance loss by fixed pilot pattern due to the complexity and variety of IoT communication scenarios, a pilot design and channel estimation scheme based on graph signal processing (GSP) was proposed.Firstly, the time-frequency resource block was modeled as a graph signal, and the channel estimation problem was reformulated into a sampling and reconstruction problem of the graph signal.Then, considering the influence of time-frequency fading, a weighted graph adjacency matrix was designed to construct a graph topology structure based on the time-frequency position.On this basis, the pilot position is selected based on the graph signal sampling theory, a greedy pilot pattern design algorithm based on weighted graph topology was proposed.At the same time, signal reconstruction was performed based on the graph signal reconstruction method, and a channel estimation method based on the graph smoothness constraint was proposed.Compared with the conventional scheme, simulation results show that the proposed method achieves higher channel estimation accuracy in high-speed scenarios of double selective channels, and effectively reduces pilot overhead in low-speed scenarios.…”
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