Induced Effects of Nano-Patterned Substrates on the Electrical and Photo-Electrical Properties of PTB7-Th:ICBA (1:1, wt.%) Bulk-Heterojunction Solar Cells by Tudor Suteu, Vlad-Andrei Antohe, Stefan Antohe, Ionel Stavarache, Maria Cristina Balasin, Gabriel Socol, Marcela Socol, Oana Rasoga, Sorina Iftimie

“…We demonstrated that using a patterned substrate enhanced the maximum output power, primarily because the short-circuit current density increased. …”
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The Performance of an ML-Based Weigh-in-Motion System in the Context of a Network Arch Bridge Structural Specificity by Dawid Piotrowski, Marcin Jasiński, Artur Nowoświat, Piotr Łaziński, Stefan Pradelok

“…In civil and bridge engineering, they can facilitate the identification of specific patterns through the analysis of data acquired from structural health monitoring (SHM) systems. …”
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SpikeAtConv: an integrated spiking-convolutional attention architecture for energy-efficient neuromorphic vision processing by Wangdan Liao, Fei Chen, Fei Chen, Changyue Liu, Weidong Wang, Weidong Wang, Weidong Wang, Hongyun Liu, Hongyun Liu

“…Notably, we achieved a top-1 accuracy of 81.23% on ImageNet-1K using the directly trained Large SpikeAtConv, which is a state-of-the-art result in the field of SNN.DiscussionOur evaluations on standard image classification benchmarks indicate that the proposed architecture narrows the performance gap with traditional neural networks, providing insights into the design of more efficient and capable neuromorphic computing systems.…”
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Evaluating the impact of waste marble on the compressive strength of traditional concrete using machine learning by Kennedy C. Onyelowe, Viroon Kamchoom, Ahmed M. Ebid, Shadi Hanandeh, Susana Monserrat Zurita Polo, Rolando Fabián Zabala Vizuete, Rodney Orlando Santillán Murillo, Rolando Marcel Torres Castillo, Siva Avudaiappan

“…This research has focused on evaluating the impact of waste marble on the compressive strength of traditional concrete using machine learning (ML). …”
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Empirical evidence for a process-based model of health-related quality of life using network analysis by Nicolette Stogios, Nicolette Stogios, Troy Francis, Troy Francis, Rachel G. Peiris, Aleksandra Stanimirovic, Aleksandra Stanimirovic, Valeria Rac, Valeria Rac, Robert P. Nolan, Robert P. Nolan

“…In support of this approach, we developed a novel HRQL assessment tool called the EUROIA: EvalUation of goal-diRected activities to prOmote wellbeIng and heAlth, which uses self-report data to assess the frequency with which individuals engage in a sample of goal-directed activities in pursuit of living well.MethodsWe conducted a network analysis to evaluate the hypothesis that the EUROIA subscales would demonstrate a meaningful pattern of associations with an established HRQL measure and associated indices of psychosocial functioning and efficacy in self-managing a chronic medical condition.ResultsThe EUROIA is associated with established indices of HRQL in a manner that is theoretically consistent with our process-based model. …”
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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

“…A comparative study evaluated the performance of five well-known two-class classification algorithms: two-class boosted decision trees, two-class decision forests, two-class locally deep SVMs, two-class neural networks, and two-class logistic regression. …”
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Week-Ahead Water Demand Forecasting Using Convolutional Neural Network on Multi-Channel Wavelet Scalogram by Adithya Ramachandran, Hatem Mousa, Andreas Maier, Siming Bayer

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Evaluating the effectiveness of the national elderly care program in Oman: A cross-sectional study by Idris Aal Jumaa, Mohammed Al Ghafri, Nahid Bait Jamil, Jokha Al Sa'idi, Sitwat Usman Langrial, Salah Al Awaidy

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Evaluation of the Effectiveness of the UNet Model with Different Backbones in the Semantic Segmentation of Tomato Leaves and Fruits by Juan Pablo Guerra Ibarra, Francisco Javier Cuevas de la Rosa, Julieta Raquel Hernandez Vidales

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SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders by Samra Siddiqui, Junaid A. Khan, Tallha Akram, Meshal Alharbi, Jaehyuk Cha, Dina A. AlHammadi

“…Therefore, multiple challenges exist regarding CAD (Computer-aided diagnosis) and endoscopy, including a lack of annotated images, a dark background, poor contrast, and an irregular pattern. The objective of this research is to develop a robust deep network, called SNet, that offers a solution to complex classification problems. …”
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Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation. by Bhavana Jonnalagadda, Stephen Becker

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A Spiking Neural Network With Adaptive Graph Convolution and LSTM for EEG-Based Brain-Computer Interfaces by Peiliang Gong, Pengpai Wang, Yueying Zhou, Daoqiang Zhang

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End-to-end handwritten Ge’ez multiple numerals recognition using deep learning by Ruchika Malhotra, Maru Tesfaye Addis

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Performance Comparison of Facial Emotion Recognition: Introducing a Model within the Driver Assistance Framework based on Deep Learning with LBP Feature Extraction for In-Vehicle A... by Ehsan Ghasemi, Seyyed Mohammad Razavi, Sajad Mohamadzadeh

“…Secondly, the Local Binary Patterns (LBP) feature descriptor is utilized to extract features from the identified eye, nose, and mouth regions. …”
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Optimizing the automated recognition of individual animals to support population monitoring by Tijmen A. deLorm, Catharine Horswill, Daniella Rabaiotti, Robert M. Ewers, Rosemary J. Groom, Jessica Watermeyer, Rosie Woodroffe

“…To evaluate intraspecific variation in the performance of software packages, we compare identification accuracy between two populations (in Kenya and Zimbabwe) that have markedly different coat coloration patterns. …”
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Performance improvement of data offloading using Krill herd optimization algorithm by Maryam Jawad Kadhim, Rasool Sadeghi, Ahmad Shaker Abdalrada, Behdad Arandian, Reihaneh Khorsand

“… The new pattern of user traffic generation in recent years and the variety of traffic services including data, voice and video have led to  a large load in the access of cellular networks. …”
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Point rotation invariant features and attention fusion network for point cloud registration of 3D shapes by Zeyang Liu, Zhiguo Lu, Yancong Shan

“…The model is trained on the ModelNet40 (Wu et al. in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1912–1920, 2015) dataset and evaluated on both ModelNet40 and ShapeNet (Chang et al. in Shapenet: an information-rich 3d model repository, 2015. arXiv:1512.03012 ) datasets, demonstrating its generalization capabilities. …”
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A dual channel and node mobility based cognitive approach to optimize wireless networks in coal mines by Fawad Javaid, Anyi Wang, Muhammad Usman Sana, Hafiz Zameer ul Hassan, Imran Ashraf

“…This study investigates the network capability by introducing a self-adaptive cognition approach that can sense and dynamically configure the communication channel requirements to optimize the wireless links in coal mines. …”
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Evaluating the Impact of Frequency Decomposition Techniques on LSTM-Based Household Energy Consumption Forecasting by Maissa Taktak, Faouzi Derbel

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Performance Evaluation of Numerical Weather Prediction Models in Forecasting Rainfall Events in Kerala, India by V. Nitha, S. K. Pramada, N. S. Praseed, Venkataramana Sridhar

“…For accurate forecasting of heavy rainfall events in this region, region-specific evaluations of NWP model performance are very important. …”
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