Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neura... by Mizuho Nishio, Osamu Sugiyama, Masahiro Yakami, Syoko Ueno, Takeshi Kubo, Tomohiro Kuroda, Kaori Togashi

“…We developed a computer-aided diagnosis (CADx) method for classification between benign nodule, primary lung cancer, and metastatic lung cancer and evaluated the following: (i) the usefulness of the deep convolutional neural network (DCNN) for CADx of the ternary classification, compared with a conventional method (hand-crafted imaging feature plus machine learning), (ii) the effectiveness of transfer learning, and (iii) the effect of image size as the DCNN input. …”
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Incorporating Attention Mechanism Into CNN-BiGRU Classifier for HAR by Ohoud Nafea, Wadood Abdul, Ghulam Muhammad

“…The HAR system is primarily intended to assist healthcare providers and elderly care facilities using other technologies such as the Internet of Things (IoT). Standard pattern recognition techniques have developed significantly, but they continue to depend on heuristic and manual feature extraction, which undermines the generalization performance. …”
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An Approach for Predicting the Shape and Size of a Buried Basic Object on Surface Ground Penetrating Radar System by Nana Rachmana Syambas

“…A simple powerful algorithm to extract feature parameters of object which is based on linear extrapolation is proposed. …”
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Higher-order topology for collective motions by Zijie Sun, Tianjiang Hu

“…Physical or mathematical models have been developed to formalize and/or regularize these collective behaviors. …”
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Identification of Earthquake Precursors Origin and AI Framework for Automatic Classification for One of These Precursors by Ghada Ali, Lotfy Samy, Omar M. Saad, Ali G. Hafez, El-Sayed Hasaneen, Kamal AbdElrahman, Ibrahim Salah, Mohammed S. Fnais, Hamed Nofel, Ahmed M. Mohamed

“…The current study also introduces this automatic classification by developing various machine learning (ML) and Convolutional Neural Network (CNN) models to highlight the features characterizing each pattern. …”
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Feedback control architecture and the bacterial chemotaxis network. by Abdullah Hamadeh, Mark A J Roberts, Elias August, Patrick E McSharry, Philip K Maini, Judith P Armitage, Antonis Papachristodoulou

“…Bacteria move towards favourable and away from toxic environments by changing their swimming pattern. This response is regulated by the chemotaxis signalling pathway, which has an important feature: it uses feedback to 'reset' (adapt) the bacterial sensing ability, which allows the bacteria to sense a range of background environmental changes. …”
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Révision de l’espèce Homo erectus (Dubois, 1893) by Valéry Zeitoun

“…The reconstruction of this evolutionary pattern should be matched with other data (dating, biogeography) to allow to reconstruct a real evolutionary synopsis.According to several authors (Stringer, 1984; Hublin, 1986; Kennedy, 1991; Brauer and Mbua, 1992) the existence of autapomorphic features for Homo erectus is not proved. …”
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Key social determinants of the Russian large family by R. M. Sadykov, N. L. Bolshakova

“…The authors analyse the social factors and features of having many children. The large families have undergone significant changes, have been greatly transformed in the process of social development and have a new social significance. …”
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Spatiotemporal Changes and Driving Mechanisms of Cropland Reclamation and Abandonment in Xinjiang by Yuling Fang, Shixin Wu, Guanyu Hou, Weiyi Long

“…The results indicate that cropland reclamation experiences a “slow decrease–rapid increase” trend, forming a “V-shaped” pattern, while abandonment shows a “rapid decrease–slow decrease–slow increase” trend, forming a “U-shaped” pattern. …”
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Low-hit frequency-hopping communication systems for power Internet of things random access by Shu DU, Mei MA, Bo ZHAO, Qi ZENG, Xing LIU

“…The communication network is an essential component of the data acquisition and information transmission in power Internet of things (IoT).To meet the development requirements of multiple power service in the future, the wireless communication technique with flexible-access and high scalability is one of the development directions for power IoT.Due to the features of large-scale access, random access time, high security and reliability for information transmission of power IoT, a frequency-hopping (FH) technique with low-hit rate for random access was proposed.The construction algorithm of such FH pattern was based upon the combination and shift operation of conventional FH sequences.By the theoretical arithmetic and numerical simulation, the properties of the proposed FH pattern and the error-rate of the FH-based power IoT were evaluated.The analysis reveals that the new class of FH sequences and the system can meet the requirements of large-scale access and highly reliable communication for the power IoT, which has good application prospects.…”
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General regression and representation model for classification. by Jianjun Qian, Jian Yang, Yong Xu

“…SRC and CRC) show a great potential for pattern classification. However, most existing coding methods assume that the representation residuals are uncorrelated. …”
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Prediction of crystalline structure evolution during solidification of aluminum at different cooling rates using a hybrid neural network model by Rafi B. Dastagir, Shorup Chanda, Farsia K. Chowdhury, Shahereen Chowdhury, K. Arafat Rahman

“…By combining the temporal pattern descriptors of LSTMs with the feature extraction potential of convolutional neural networks (CNN), the hybrid Conv1D-LSTM model achieves higher accuracy in predicting crystal structural evolution curves, in contrast to the performance of standalone LSTM and CNN models. …”
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Multi-branch GAT-GRU-transformer for explainable EEG-based finger motor imagery classification by Zhuozheng Wang, Yunlong Wang

“…However, due to the complex, noisy, and non-stationary nature of EEG signals, traditional classification methods—such as Common Spatial Pattern (CSP) and Power Spectral Density (PSD)—struggle to extract meaningful, multidimensional features. …”
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Research into the Application of ResNet in Soil: A Review by Wenjie Wu, Lijuan Huo, Gaiqiang Yang, Xin Liu, Hongxia Li

“…ResNet outperforms traditional methods by effectively mitigating the vanishing gradient problem, enabling deeper network training, enhancing feature extraction, and improving accuracy in complex pattern recognition tasks. …”
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Tipping the balance: robustness of tip cell selection, migration and fusion in angiogenesis. by Katie Bentley, Giovanni Mariggi, Holger Gerhardt, Holger Gerhardt, Paul A Bates

“…A novel filopodia-adhesion driven migration mechanism is presented and validated against in vivo data. Due to the unique feature of ongoing lateral inhibition, 'stabilised' tip/stalk cell patterns show sensitivity to the formation of new cell-cell junctions during fusion: we predict cell fates can reverse. …”
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Determination of the processes driving the acquisition of immunity to malaria using a mathematical transmission model. by João A N Filipe, Eleanor M Riley, Christopher J Drakeley, Colin J Sutherland, Azra C Ghani

“…The development of anti-parasite immunity better reproduced observed epidemiological patterns if it was dominated by age-dependent physiological processes rather than by the magnitude of exposure (provided some exposure occurs). …”
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Analysis of precancerous lesion-related microRNAs for early diagnosis of cervical cancer in the Thai population by Rooge Suvanasuthi, Suwanit Therasakvichya, Potjanee Kanchanapiboon, Chamras Promptmas, Sarin Chimnaronk

“…This study aimed at the development of the first miRNA biomarker panel for early detection of CC in Thai women. …”
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A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Met... by A. S. Albahri, Z. T. Al-qaysi, Laith Alzubaidi, Alhamzah Alnoor, O. S. Albahri, A. H. Alamoodi, Anizah Abu Bakar

“…The literature’s findings in terms of the main aspects identified in existing applications of deep learning pattern recognition techniques in SSVEP-based BCI, such as feature extraction, classification, activation functions, validation methods, and achieved classification accuracies, are examined. …”
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Single target tracking in high-resolution satellite videos: a comprehensive review by Xin Huang, Ding Wang, Qiqi Zhu, Ying Zheng, Qingfeng Guan

“…Different from targets in ordinary videos, targets in satellite videos usually demonstrate the phenomenon of a small size occupation pattern (small) and weak feature capture (dim) due to occlusion, illumination variation, and confusion with the surroundings. …”
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An Improved IoT Based Hybrid Predictive Load Forecasting Model for a Greenhouse Integrated With Demand Side Management by Soumya Ranjan Biswal, Tanmoy Roy Choudhury, Babita Panda, Subhrajyoti Mishra

“…A hybrid predictive model integrating Extreme Gradient Boosting (XGBoost) for static feature learning and Long Short-Term Memory (LSTM) for sequential pattern recognition is proposed, coupled with a priority-based DSM framework deployed on a Raspberry Pi IoT platform. …”
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