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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Prediction of the spatial distribution of vine weevil under climate change using multiple variable selection methods by Ga-Young Kim, Wang-Hee Lee

“…The MaxEnt algorithm was used to develop the models, showing robust performance with raw bioclimatic variables (TSS 0.34–0.37, F1 score 0.60–0.67), while lower performance and different distribution patterns were observed with reconstructed variables (TSS 0.13, F1 score 0.48). …”
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Enhancing security and usability with context aware multi-biometric fusion for continuous user authentication by Ayeswarya S., John Singh K.

“…The proposed system dynamically adjusts the importance of each biometric modality using the Context-Driven Multi-Biometric Scoring Algorithm (CMBSA), enabling it to adapt to real-time contextual factors such as user behavior and system configuration. …”
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Whispers in the air: Designing acoustic classifiers to detect fruit flies from afar by Alia Khalid, Muhammad Latif Anjum, Salman Naveed, Wajahat Hussain

“…In order to benchmark research in this area, we release a novel dataset containing acoustic data of four bugs (Guava fly, Melon fly, Blue bottle fly, and mosquitoes). …”
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A GNSS Anti-jamming Technology of UAV for Geological Hazard Monitoring by ZHANG Yonggang, ZHOU Chaorong, SHEN Feng

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Threat analysis model to control IoT network routing attacks through deep learning approach by K. Janani, S. Ramamoorthy

“…Most of the recent research has focused on the Internet of Things (IoT) and its applications. …”
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Time-delayed vibration control and parameter optimization of semi-active vehicle suspension designed for random road excitation by Yong Guo, Yong-Jing Li, Yan-Bo Wei

“…Therefore, the mechanical model of time-delayed feedback control in semi-active vehicle suspension systems is chosen as the research focus in this paper. Firstly, the optimal values of time-delayed feedback control parameters are derived through an optimization algorithm based on “equivalent harmonic excitation.” …”
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Seamless multimodality for passenger transportation in the Russian Federation by A. S. Stepanenko, A. S. Bolt, P. S. Bolt

“…The paper presents a review of the scientific literature on the above issues. The research methodology is based on proven approaches. …”
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Measurement-converted Kalman filter tracking with Gaussian intensity attenuation signal in wireless sensor networks by Sha Wen, Liqiang Xing, Xiaoqing Hu, Hui Zhang

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A High Performace of Local Binary Pattern on Classify Javanese Character Classification by Ajib Susanto, Daurat Sinaga, Christy Atika Sari, Eko Hari Rachmawanto, De Rosal Ignatius Moses Setiadi

“…The selected classification algorithm is K-Nearest Neighbor (KNN) at K = 1, 3, 5, 7, and 9. …”
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Generalised Adaptive Harmony Search: A Comparative Analysis of Modern Harmony Search by Jaco Fourie, Richard Green, Zong Woo Geem

“…Harmony search (HS) was introduced in 2001 as a heuristic population-based optimisation algorithm. Since then HS has become a popular alternative to other heuristic algorithms like simulated annealing and particle swarm optimisation. …”
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Automatic Fault Classification for Journal Bearings Using ANN and DNN by Narendiranath Babu THAMBA, Arun ARAVIND, Abhishek RAKESH, Mohamed JAHZAN, Rama Prabha DURAISWAMY, Ramalinga Viswanathan MANGALARAJA

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The close-open mixed-fleet electric vehicle routing problem by Themistoklis Stamadianos, Nikolaos A. Kyriakakis, Magdalene Marinaki, Yannis Marinakis

“…To solve large instances, three discrete optimization swarm intelligence algorithms are employed, alongside a Variable Neighborhood Search algorithm. …”
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ON PECULIARITIES OF BUILDING MATERIALS PROFITS TAX ENTERPRISES IN DIFFERENTIATED APPROACH by V. Dubkova

“…It is considered the results of research the problem of improvement of enterprise profit taxation, the ways of its solution and one of the main problems of the modern system of the enterprises taxation -connection with production efficiency. …”
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Design of Multi-Level Inverter Design for Charging Stations of Electric Vehicles by Aung Kyaw Htay, Hla Myo Tun Tun, Devasis Pradhan, Lei Lei Yin Win, Ei Ei Khin, Khaing Thandar Soe

“…The paper mainly focuses on the Design of Multi-Level Inverter Design for Charging Stations of Electric Vehicles. The research challenges in this study are: the lack of technology for higher level design of multilevel inverter systems for electric vehicles (EVs) is facing to solve the high performance and robustness of the system in reality, the control algorithm for maximum power observing is a crucial challenge in the designing and implementing such kind of multilevel inverter design, the pure sine wave inverter approaches with higher number steps could be a candidate for electric vehicles (EVs) in real world applications. …”
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A METHOD FOR INVESTIGATING MACHINE LEARNING ATTACKS ON ARBITER-TYPE PHYSICALLY UNCLONABLE FUNCTIONS by Yuri A. Korotaev

“…Attacks were conducted on models of basic and modified variants of APUFs from the open-source library "pypuf", using classical logistic regression and artificial neural networks (ANNs). The research infers that ANNs outperform traditional machine learning algorithms in carrying out attacks on Arbiter PUFs. …”
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Distributed Optimization for Mobile Robots under Mobile Edge Computing Environment by Hui Luo, Quan Yin

“…Then, a semidistributed algorithm is introduced to solve the distributed optimization problem in the mmW network. …”
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Multi-Disciplinary Optimization of UV-C Filter for Air Disinfection by Igor Carli, Carlo Poloni, Alberto Clarich, Rosario Russo

“…Because of the recent COVID-19 pandemic, the problem of preventing and containing the diffusion of pathogens spread through air has become a main topic of research. The problem is particularly important for specific environments, such as dental or other medical practices, where the aerosol treatments in open-mouth patients, combined with closed and crowded rooms, raise the risk of infection. …”
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Reliability-Based Topology Optimization Considering Overhang Constraints for Additive Manufacturing Design by Fahri Murat, Irfan Kaymaz, Abdullah Tahir Şensoy

“…RBTO addresses uncertainties in design variables to enhance reliability. This research investigates build direction parameter solutions using deterministic and RBTO algorithms. …”
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Classification of taxes and fees as a method of systematization of environmental taxation in the russian federation by L. S. Samodelko

“…As a result of the conducted research, the author’s approach to the typologization of taxes and fees within the framework of Russian tax legislation is proposed from the position of using the ecological element of fiscal instruments. …”
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