Use of deep learning in early software bug detection by Syed Mibran Hassan Zaidi, Maria Khan, Mustafa Latif, Ali Akhtar, Sallar Khan

“…This was achieved by using an ensemble parallel technique for training the Convolutional Neural Network and Random Forest algorithm in a parallel way. …”
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Efficient Hybrid-Robust Approach for Cancer Biomarker Discovery Using Omics Data by Karima Sid, Soumia Zertal, Mohamed Batouche, Soumeya Zerabi

“…A novel hybrid framework was put forth for consideration, comprising three distinct stages: Clustering, Parallel Filtering, and Hybrid-Parallel Optimization. …”
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Impedance-based sensitivity analysis for enhanced dynamic stability in DC off-grid hydrogen production systems by Chenguang Zhang, Zhongjian Kang, Bin Li, Hongyang Zhang, Di Zhu

“…The interface converter adopts dual active bridge (DAB) configurations with input-parallel-output-series (IPOS) and input-series-output-parallel (ISOP) topologies. …”
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Lightweight human activity recognition method based on the MobileHARC model by Xingyu Gong, Xinyang Zhang, Na Li

“…Particularly, We proposed the Mobile Human Activity Recognition Conformer (MobileHARC), which adopts the parallel structure with a lightweight Transformer and CNN as the backbone networks. …”
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Design of A Thermoelectric Generator for Battery Charging using Heat from A Steam Iron Base by Delta Sundari, Mauludi Manfaluthy, Legenda Prameswono Pratama, Brainvendra Widi Dionova, Devan Junesco Vresdian, Arisa Olivia Putri, Safaa Najah Sahud Al-Humairi, M. N. Mohammed

“…The research objectives are threefold: to determine power and temperature values for series-connected thermoelectric circuits, to evaluate power and temperature values for parallel-connected thermoelectric circuits, and to utilize heat from the steam iron soleplate as a thermoelectric heat source for generating electrical energy. …”
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Intelligent system construction as consequent transformation of the model range of its functional prototypes by A. V. Gulay, V. M. Zaitsev

“…Step-by- step development and adjustment of models, which are highly complicated prototypes, with the use of the parallel-sequential scheme of their structural enrichment and functional complication, is the effective technological trend of co-engineering.…”
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Investigation of the dielectric characteristics of materials manufactured using additive technologies by S. V. Kharalgin, M. I. Voytovich

“…For a printed sample consisting of two layers of crossed cylinders, the air volumes are parallel to the lines of force with a period of ninety degrees, which is confirmed by the results obtained. …”
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Comparative analysis of a rapid detection method and conventional method to ensure microbial quality of drinking water by B Isabella Princess

“…Parallel testing with conventional multiple tube method was performed. …”
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Investigating the Impact of Structural Features on F1 Car Diffuser Performance Using Computational Fluid Dynamics (CFD) by Eugeni Pérez Nebot, Antim Gupta, Mahak Mahak

“…A Three-Dimensional k-Omega-SST RANS-based CFD methodology was developed to evaluate the aerodynamic performance of various diffuser configurations using Star CCM+. …”
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Fault diagnosis in photovoltaic arrays: A robust and efficient approach using feature engineering and 1D-CNN by Yousif Mahmoud Ali, Lei Ding

“…The proposed 1D-CNN model consists of two convolutional layers, a single max-pooling layer for feature extraction, two fully connected layers, and a softmax layer for fault classification. Performance evaluations of the proposed method were conducted across four PV system topologies: series–parallel (SP), Total-Crossed-Tied (TCT), Honey-Comb (HC), and Bridge-Linked (BL) PV arrays. …”
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iPro-CSAF: identification of promoters based on convolutional spiking neural networks and spiking attention mechanism by Qian Zhou, Jie Meng, Hao Luo

“…The method extracts promoter features by two parallel branches including spiking attention mechanism and a convolutional spiking layer. …”
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Effects of complex whole-body movements on EEG activity: a scoping review by Gabriel Müller, Atef Salem, Wolfgang I. Schöllhorn

“…The investigation of the effects of endurance sports on brain activity poses the problem that an increase in EEG activity does not allow a differentiation between the effects caused by an increase in metabolism and those caused by an increase in the coordinative demands that must be coped with in parallel. This issue is currently being increasingly investigated using movements in which metabolism is not increased accordingly. …”
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A Hybrid Proactive Caching System in Vehicular Networks Based on Contextual Multi-Armed Bandit Learning by Qiao Wang, David Grace

“…The two parallel prediction algorithms are based on Contextual Multi-armed bandit (cMAB) learning, called Dual-context cMAB and Single-context cMAB. …”
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#diastasisrecti: a mixed-methods analysis of Instagram posts and their influence on women’s exercise and sports participation by Silvia Giagio, Tamara Rial-Rebullido, Stefano Salvioli, Tiziano Innocenti, Paolo Pillastrini, Isabel Moore, Gráinne Donnelly

“…Methods A convergent parallel mixed methods design was used. Public IG posts were analysed using the QUality Evaluation Scoring Tool (QUEST) and exercise and sports suggestions for women with DRA were extracted. …”
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The corneoscleral shell of the eye: potentials of assessing biomechanical parameters in normal and pathological conditions by E. N. Iomdina, S. Yu. Petrov, A. A. Аntonov, I. A. Novikov, I. A. Pahomova, A. Y. Archakov

“…The paper reviews modern methods of evaluating the biomechanical properties of the corneoscleral shell of the eye that can be used both in the studies of the pathogenesis of various ophthalmic pathologies and in clinical practice. …”
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Bacterial extracellular vesicles for gut microbiome–host communication and drug development by Dingfei Qian, Peijun Xu, Xinwei Wang, Chong Du, Xiao Zhao, Jiaqi Xu

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Using deep neural networks and LASSO regression to predict miRNA expression changes based on mRNA data by Franz Leonard Böge, Helena U. Zacharias, Stefanie C. Becker, Klaus Jung

“…IntroductionSince the rise of molecular high-throughput technologies, many diseases are now studied on multiple omics layers in parallel. Understanding the interplay between microRNAs (miRNA) and their target mRNAs is important to understand the molecular level of diseases. …”
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FACT: a randomised controlled trial to assess the feasibility of QbTest in the assessment process of attention deficit hyperactivity disorder (ADHD) for young people in prison—a fe... by Charlotte Lucy Hall, Prathiba Chitsabesan, Charlotte Lennox, Lesley-Anne Carter, Susan Young, Abdullah Kraam, Nikki Brown, Lloyd Wilkinson-Cunningham, Mindy Reeves

“…Primary analyses will be descriptive and a process evaluation will be conducted to assess the contexts involved in implementing the intervention. …”
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Effectiveness of specialist involvement in case discussion conferences with primary healthcare providers on the management of type 2 diabetes patients: a study protocol for a clust... by Jia Li, Jiawei Li, Chao Long, Aoqi Ge, Luping Hei, Zhikai Yang, Juanjuan Li, Xianjing Qin, Xinlu Song, Beibei Yuan

“…Methods This study will be a parallel cluster randomized controlled trial in which primary healthcare institutions in Shouguang city and Shangsi County will be randomly allocated to the intervention and control groups. …”
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Scalable and Fast Electrical Modeling Method for Bonding-Wire Memory Packages by Dongryul Park, Seonghi Lee, Seunghun Ryu, Hyunwoo Kim, Duksoo Kim, Hyunsik Kim, Jongwook Kim, Seungyoung Ahn

“…To accelerate the modeling process, matrix reduction and parallel processing are utilized. Finally, the in-house code connects the component models, creating the full memory package. …”
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