Artificial intelligence driven Mid-IR photoimaging device based on van der Waals heterojunctions of black phosphorus by Wang Ziqian, Wang Huide, Wang Chen, Bao Yushuo, Zheng Weiying, Weng Xiaoliang, Zhu Yihan, Liu Yi, Zhang Yule, Tian Xilin, Sun Shuo, Cao Rui, Shi Zhe, Chen Xing, Qiu Meng, Wang Hao, Liu Jun, Chen Shuqing, Zeng Yu-Jia, Liao Wugang, Huang Zhangcheng, Li Haiou, Gao Lingfeng, Li Jianqing, Fan Dianyuan, Zhang Han

“…Artificial intelligence (AI)-assisted sampling systems feature efficient and intelligent data reconstruction capabilities. …”
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A Deep Learning-Based Echo Extrapolation Method by Fusing Radar Mosaic and RMAPS-NOW Data by Shanhao Wang, Zhiqun Hu, Fuzeng Wang, Ruiting Liu, Lirong Wang, Jiexin Chen

“…Moreover, the SSIM of the MR-DCGAN models demonstrates a more gradual decline and maintains higher overall values, indicating superior capability in preserving echo structural features. Meanwhile, the comparative experiments demonstrate that the MR-DCGAN (<i>u</i>, <i>v</i> + rh) model outperforms the MR-ConvLSTM (<i>u</i>, <i>v</i> + rh) model in terms of evaluation metrics. …”
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Adaptive Coati Optimization Enabled Deep CNN-based Image Captioning by Balasubramaniam S, Seifedine Kadry, Rajesh Kumar Dhanaraj, Satheesh Kumar K

“…The main goal of this research is to caption the image by extracting the features and detecting the object from the image. Here, the object is detected by employing Deep Embedding Clustering. …”
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Analyzing customer churn behavior using datamining approach: hybrid support vector machine and logistic regression in retail chain by Mohammad Barzegar, Aliakbar Hasani

“…In the second stage, the support vector machine algorithm, a critical supervised learning algorithm, was used to classify the customers and rank the essential features. …”
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Capture of microexpressions based on the entropy of oriented optical flow by LI Dan, XIE Lun, LU Ting, HAN Jing, HU Bo, WANG Zhi-liang, REN Fu-ji

“…This paper proposes an algorithm that is effective in detecting the key frame of microexpression based on the entropy of oriented optical flow. …”
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Exploration of biomarkers of Alzheimer’s disease based on orthogonal multi-task canonical correlation analysis by Tao Yang, GuangYu Wan, Xiong Zhou

“…Based on the multi-task canonical correlation analysis, this algorithm added orthogonal constraints to the weight vectors U and V, which can effectively prevent the influence of redundant features on the results. …”
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A Fault Identification Method for Electric Submersible Pumps Based on DAE-SVM by Peihao Yang, Jiarui Chen, Hairong Zhang, Sheng Li

“…Firstly, the ESP production data were processed and fault-related features were screened using the random forest (RF) algorithm. …”
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Phaseless Diagnosis and Pattern Correction of Faulty Antenna Arrays via Advanced Bayesian Compressive Sensing Approaches by Zi An Wang, Ping Li

“…This method features a modified forward projection rule to accelerate convergence and utilizes a BCS algorithm during backward projection to find sparse correction vectors. …”
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Endovideosurgical aspects of treatment of bilateral inguinal hernias by V. P. Zemlyanoy, B. V. Sigua, D. S. Syomin, E. P. Sopiya

“…OBJECTIVE. The article detected risk factors of supravesial hernia formation and its recurrence in patients with bilateral inguinal hernias after laparoscopic herniaplasty. …”
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Extracting fluorescent reporter time courses of cell lineages from high-throughput microscopy at low temporal resolution. by Mike J Downey, Danuta M Jeziorska, Sascha Ott, T Katherine Tamai, Georgy Koentges, Keith W Vance, Till Bretschneider

“…In our approach, cell nuclei are identified using Hoechst, and a characteristic drop in Hoechst fluorescence helps to detect dividing cells. We first compare the efficiency and accuracy of different segmentation methods and then present a statistical scoring algorithm for cell tracking, which draws on the combination of various features, such as nuclear intensity, area or shape, and importantly, dynamic changes thereof. …”
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Mobile direct-sequence spread-spectrum underwater acoustic communication based on improved differential energy detector by Peng-yu DU, Long-xiang GUO, Jing-wei YIN, Gang QIAO

“…A Doppler estimation method based on the structural features of spread spectrum signal was proposed,which could achieve real-time Doppler estimation for received spread spectrum signals by energy detecting the result of matching correlation calculation of adjacent received spreading symbols.In addition,this method made full use of the spread spectrum processing gain and could do Doppler estimation under low SNR condition.Improved differential energy detector was further proposed,which can effectively deal with the rapid carrier phase fluctuation interference caused by Doppler effect and time-varying multi-path interference by detecting the output energy of two correlators.Simulation verified the robustness of improved differential energy detector algorithm and the Doppler estimation method based on spread spectrum signal.At-sea data shows that improved differential energy detector combined with the proposed Doppler estimation method can achieve low bit error rate communication for direct-sequence spread spectrum underwater acoustic communication with large time-varying Doppler interference when SNR is −10 dB.…”
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Color and Grey-Level Co-Occurrence Matrix Analysis for Predicting Sensory and Biochemical Traits in Sweet Potato and Potato by Judith Ssali Nantongo, Edwin Serunkuma, Gabriela Burgos, Mariam Nakitto, Joseph Kitalikyawe, Thiago Mendes, Fabrice Davrieux, Reuben Ssali

“…High correlations between sensory panel aroma and flavor with instrumental color were detected (up to r=0.66), although the validity of these correlations needs to be tested. …”
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Mobile direct-sequence spread-spectrum underwater acoustic communication based on improved differential energy detector by Peng-yu DU, Long-xiang GUO, Jing-wei YIN, Gang QIAO

“…A Doppler estimation method based on the structural features of spread spectrum signal was proposed,which could achieve real-time Doppler estimation for received spread spectrum signals by energy detecting the result of matching correlation calculation of adjacent received spreading symbols.In addition,this method made full use of the spread spectrum processing gain and could do Doppler estimation under low SNR condition.Improved differential energy detector was further proposed,which can effectively deal with the rapid carrier phase fluctuation interference caused by Doppler effect and time-varying multi-path interference by detecting the output energy of two correlators.Simulation verified the robustness of improved differential energy detector algorithm and the Doppler estimation method based on spread spectrum signal.At-sea data shows that improved differential energy detector combined with the proposed Doppler estimation method can achieve low bit error rate communication for direct-sequence spread spectrum underwater acoustic communication with large time-varying Doppler interference when SNR is −10 dB.…”
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Whole genome sequencing improves tissue-of-origin diagnosis and treatment options for cancer of unknown primary by Richard J. Rebello, Atara Posner, Ruining Dong, Owen W. J. Prall, Tharani Sivakumaran, Camilla B. Mitchell, Aidan Flynn, Alex Caneborg, Catherine Mitchell, Sehrish Kanwal, Clare Fedele, Samantha Webb, Krista Fisher, Hui-Li Wong, Shiva Balachander, Wenying Zhu, Shannon Nicolson, Voula Dimitriadis, Nicholas Wilcken, Anna DeFazio, Bo Gao, Madhu Singh, Ian M. Collins, Christopher Steer, Mark Warren, Narayan Karanth, Huiling Xu, Andrew Fellowes, Rodney J. Hicks, Kym Pham Stewart, Charles Shale, Peter Priestley, Sarah-Jane Dawson, Joseph H. A. Vissers, Stephen B. Fox, Penelope Schofield, David Bowtell, Oliver Hofmann, Sean M. Grimmond, Linda Mileshkin, Richard W. Tothill

“…Curated WGTS features and a CUP prediction algorithm (CUPPA) trained on WGTS data of known cancer types informs TOO in 71% of cases otherwise undiagnosed by clinicopathology review. …”
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Methodics and tools of cough sound processing on basic of neural net by U. A. Vishniakou, Bahaa Shaya

“…The proposed CNN system is designed to classify and detect cough sounds based on ESC-50. After selecting a set of sound classification data, four stages are described: extraction of features from audio files, labeling, training, testing. …”
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Radiomic study on preoperative multi‐modal magnetic resonance images identifies IDH‐mutant TERT promoter‐mutant gliomas by Haoyu Wang, Shuxin Zhang, Xiang Xing, Qiang Yue, Wentao Feng, Siliang Chen, Jun Zhang, Dan Xie, Ni Chen, Yanhui Liu

“…Conclusions An accurate diagnostic model was constructed for detecting IDHmut pTERTmut gliomas using multimodal radiomic features. …”
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IDEEA: information diffusion model for integrating gene expression and EEG data in identifying Alzheimer’s disease markers by Enes Ozelbas, Tuba Sevimoglu, Tamer Kahveci

“…Subsequently, we employ a genetic algorithm approach to integrate the distinct features of the preprocessed data. …”
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Methionine synthase reductase A66G polymorphism and ischemic stroke in younger patients by O. V. Tsyganenko, L. I. Volkova, A. M. Alasheev

“…Methionine synthase reductase (MTRR) A66G polymorphism is one of the risk factors for ischemic stroke (IS). However, clinical features of IS in MTRR A66G polymorphism are not yet studied.Objective: to investigate clinical features of IS in MTRR A66G polymorphism.Patients and methods. …”
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A method based on clustering fast search for bearing performance degradation assessment by ShengWen Zhou, Li Zhang, Xiaoming Yang, Fan Xu, BaiGang Du, RuiPing Luo, Wenhui Zeng

“…Second, SV1 and SV2 are used as input to the CFS algorithm to identify the cluster centers automatically. …”
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Enhanced Domain Tuned Yolo-Driven Intelligent Fault Identification Method: Application in Selection and Construction of Gas Storage by BAI Xuefeng, ZHANG Fengyuan, ZOU Huanyu, HUANG Famu, LI Junlun, ZHAO Shijie, ZHANG Li, TANG Jizhou

“…Firstly, to address the sparse onsite data, an image self-enhancement algorithm based on reinforcement learning is employed. …”
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