FUSCANet: Enhancing Skin Disease Classification Through Feature Fusion and Spatial-Channel Attention Mechanisms by Qinyang Liu, Xuan Wang, Hongjiu Liu, Xiangzhen Zang, Lei Li, Zhanlin Ji, Ivan Ganchev

“…With the widespread application of computer vision technology in dermatology, automating skin lesion classification through computer algorithms has become a crucial method for improving diagnostic efficiency and reducing the mortality rate due to malignant skin conditions. …”
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Intelligent islanding detection framework for smart grids using wavelet scalograms and HOG feature fusion by Kumaresh Pal, Kumari Namrata, Ashok Kumar Akella, Akshit Samadhiya, Ahmad Taher Azar, Mohamed Tounsi, Naglaa F. Soliman, Walid El-Shafai

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A construction of heterogeneous transfer learning model based on associative fusion of image feature data by Wen-Fei Tian, Ming Chen, Zhong Shu, Xue-jun Tian

“…Also, a correlation coefficient is computed for image feature vectors, and effective correlation mapping matrices are constructed through multi-dimensional vectorized correlation. …”
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Geometric and semantic quality assessments of building features in OpenStreetMap for some areas of Istanbul by Basaraner Melih

“…In geometric terms, various parameters of position (i.e. X, Y), size (i.e. area, perimeter and granularity), shape (i.e. convexity, circularity, elongation, equivalent rectangular index, rectangularity and roughness index), and orientation (i.e. orientation angle) elements are computed and compared. …”
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Quantitative CT Analysis of Lung Features in Patients with Polymyositis/Dermatomyositis without Interstitial Lung Disease by He HEI, Kai YANG, Liyu HE, Yadan SHENG, Yaqi YAN, Bingjie ZHU, Yuting ZHANG, Jiayin TONG, Jingping ZHANG, Chenwang JIN

“…Objective: This study aims to analyze the lung differences between patients with interstitial lung disease (ILD) and non-interstitial (Non-ILD) diseases related to polymyositis/dermatomyositis (PM/DM) and healthy controls through quantitative computed tomography (CT) parameters. The objective is to establish a theoretical basis for early diagnosis and timely treatment of the disease. …”
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Insights into gait performance in Parkinson's disease via latent features of deep graph neural networks by Jiecheng Wu, Jiecheng Wu, Ning Su, Xinjin Li, Xinjin Li, Chao Yao, Jipeng Zhang, Xucheng Zhang, Wei Sun

“…Fortunately, advancements in computer science have provided serial ways to calculate gait-related parameters, offering a more accurate alternative to the complex and often imprecise assessments traditionally relied upon by trained professionals. …”
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Determination of Technological Features of a Solar Photovoltaic Cell Made of Monocrystalline Silicon P+PNN+ by Cristian-Petre Fluieraru, Gabriel Predușcă, Horia Andrei, Emil Diaconu, Petru Adrian Cotfas, Daniel Tudor Cotfas

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Explainable CNN for brain tumor detection and classification through XAI based key features identification by Shagufta Iftikhar, Nadeem Anjum, Abdul Basit Siddiqui, Masood Ur Rehman, Naeem Ramzan

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Rolling Bearing Fault Diagnosis Based on Optimized VMD Combining Signal Features and Improved CNN by Yingyong Zou, Xingkui Zhang, Wenzhuo Zhao, Tao Liu

“…The decomposed signals are then filtered and reconstructed using criteria based on kurtosis and interrelationship measures. The time-domain features of the reconstructed signals are computed, and the feature vectors are constructed, which are used as inputs to the deep learning network; the CNN combined with the support vector machine (SVM) network model is used for the extraction of the features and the classification of the faults. …”
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Escalate Prognosis of Parkinson’s Disease Employing Wavelet Features and Artificial Intelligence from Vowel Phonation by Rumana Islam, Mohammed Tarique

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A Fabrication Method for Realizing Vertically Aligned Silicon Nanowires Featuring Precise Dimension Control by Sourav Mukherjee, Mohannad Y. Elsayed, Hani H. Tawfik, Mourad N. El-Gamal

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Deep TPS-PSO: Hybrid Deep Feature Extraction and Global Optimization for Precise 3D MRI Registration by Gayathri Ramasamy, Tripty Singh, Xiaohui Yuan, Ganesh R Naik

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A Computationally Efficient Model Predictive Control Energy Management Strategy for Hybrid Vehicles Considering Driving Style by Yalian Yang, Yuqi Chen, Changdong Liu

“…Driving data were collected through driver-in-the-loop simulation experiments, a certain number of feature parameters related to driving styles were analyzed, and the final feature parameters were determined through two screenings. …”
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Fusion of non-iterative deep neural network feature extraction with kernel extreme learning machine for plant disease classification by Kirti Kirti, Navin Rajpal, Virendra P. Vishwakarma, Pramod Kumar Soni

“…The method extracts deep, discriminative features via ResNet-50 and feeds them into a lightweight KELM for final classification. …”
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Using a Bodily Weight-Fat Scale for Cuffless Blood Pressure Measurement Based on the Edge Computing System by Shing-Hong Liu, Bo-Yan Wu, Xin Zhu, Chiun-Li Chin

“…The feature included two calibration-based parameters and one calibration-free parameter was used to estimate BP with XGBoost. …”
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Design of a robot system for improved stress classification using time–frequency domain feature extraction based on electrocardiogram by Malhotra Vikas, Saini Gurpreet Singh, Malhotra Sumit, Popli Renu

“…The average accuracy obtained using the proposed technique is 98.98% but without using the feature extraction technique, it is 97.71%. The other performance parameters also get improved and the results are finally compared with the existing techniques.…”
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Joint contribution of adaptation and neuronal population recruitment to response level in visual area MT: a computational model by Maria Inês Cravo, Rui Bernardes, Miguel Castelo-Branco

“…Here, we employ a computational model of visual neurons with and without firing rate adaptation to test these two hypotheses. …”
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Computational Evaluation of the Structural, Topological, and Solvent Effects on the Nonlinear Optical Properties of 1-Methylurea Butanedioic Acid Crystal by Stanley Numbonui Tasheh, Nyiang Kennet Nkungli, Charly Tedjeuguim Tsapi, Dodo Lydie Ajifac, Julius Numbonui Ghogomu

“…The implications extend to industries such as telecommunications and computing, where faster data transmission rates are in high demand.…”
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Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling by Dinesh Sahu, Nidhi, Rajnish Chaturvedi, Shiv Prakash, Tiansheng Yang, Rajkumar Singh Rathore, Idrees Alsolbi

“…Abstract This paper presents a new approach based on Boltzmann Distribution and Bayesian Optimization to solve the energy-efficient resource allocation in edge computing. It employs Bayesian Optimization to optimize the parameters iteratively for the minimum energy consumption and latency. …”
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Photodynamic Efficiency of Xanthene Dyes and Their Phototoxicity against a Carcinoma Cell Line: A Computational and Experimental Study by Suelen T. G. Buck, Fernanda Bettanin, Ednilson Orestes, Paula Homem-de-Mello, Hidetake Imasato, Rommel B. Viana, Janice R. Perussi, Albérico B. F. da Silva

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