GoalNet: Goal Areas Oriented Pedestrian Trajectory Prediction by Amar Fadillah, Ching-Lin Lee, Zhi-Xuan Wang, Kuan-Ting Lai

“…The overall model is efficient and modular, and its outputs can be changed according to the usage scenario. …”
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A Multiscale CNN-Based Intrinsic Permeability Prediction in Deformable Porous Media by Yousef Heider, Fadi Aldakheel, Wolfgang Ehlers

“…The primary goal is to develop an efficient, machine learning (ML)-based method that overcomes the limitations of traditional permeability estimation techniques, which often rely on time-consuming experiments or computationally expensive fluid dynamics simulations. …”
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Robust Pareto Transistor Sizing of GaN HEMTs for Millimeter-Wave Applications by Rafael Perez Martinez, Stephen Boyd, Srabanti Chowdhury

“…For PAs, the optimization goals are to maximize the worst-case modulated average output power (<inline-formula> <tex-math notation="LaTeX">$P_{\text {out,avg}}$ </tex-math></inline-formula>) and power-added efficiency (<inline-formula> <tex-math notation="LaTeX">$\text {PAE}_{\text {avg}}$ </tex-math></inline-formula>) while minimizing the worst-case average junction temperature (<inline-formula> <tex-math notation="LaTeX">$T_{\text {j,avg}}$ </tex-math></inline-formula>) under a modulated 64-QAM signal stimulus. …”
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Application of a dynamo-based intelligent drawing review program in the general code for building fire protection - Case study of subsection 7.4.7 by Yong Xu, Min Liu, Taiyang Zhang, Hongyuan Tang, Yingda Zhang

“…The proposed framework supports efficient design validation, reduces labor demands, and contributes to enhanced building safety. …”
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A Low Power Memory-Integrated Hardware BNN-MLP Model on an FPGA for Current Signals in a Biosensor by Geon-Hoe Kim, Dong-Gyun Kim, Sung-Jae Lee, Jong-Han Kim, Da-Yeong An, Hyejin Kim, Young-Gun Pu, Heejeong Jasmine Lee, Jun-Eun Park, Kang-Yoon Lee

“…This paper presents a method for processing and digitizing the current signal information output from biosensors and a hardware Artificial Intelligence (AI) model design that classifies data using low-power and compact AI algorithms to minimize the high-power consumption and on chip area of the Convolutional Neural Network (CNN) models used in biosensors. …”
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Real-time detection of Chinese cabbage seedlings in the field based on YOLO11-CGB by Hang Shi, Hang Shi, Changxi Liu, Changxi Liu, Miao Wu, Miao Wu, Hui Zhang, Hui Zhang, Hang Song, Hang Song, Hao Sun, Hao Sun, Yufei Li, Yufei Li, Jun Hu, Jun Hu

“…However, the similarity between the characteristics of Chinese cabbage seedlings and some weeds is a great challenge for accurate detection.MethodsThis study introduces an enhanced detection method for Chinese cabbage seedlings, employing a modified version of YOLO11n, termed YOLO11-CGB. …”
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Reliable Structural Stability and Damage Control of Concrete Gravity Dams During Earthquakes by Nazim Abdul Nariman, Ayad Mohammed Ramadan, Rawshan Ali, Raja Rizwan Hussain, Shallaw Abdullah Saleh

“…The Pareto optimization method is adopted with the support of MATLAB codes to calculate the optimized values of the participating factors. …”
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Applied AMT machine learning and multi-objective optimization for enhanced performance and reduced environmental impact of sunflower oil biodiesel in compression ignition engine by Ali A. Al-jabiri, Hyder H. Balla, Mudhaffar S. Al-zuhairy, Hussein Alahmer, Ahmed Al-Manea, Raed Al-Rbaihat, Ali Alahmer

“…This comprehensive study investigates the influence of biodiesel, specifically derived from sunflower oil, through the esterification method, on crucial engine performance parameters and environmental effects. …”
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Presenting a model for determining the level of technological complexity of research and development activities in knowledge-based companies (case study: companies based in Golesta... by Gholamali shahmoradi, Taghi Torabi, Reza Radfar, Mohammadhasan Cheraghali

“…Research and development activities make it possible for knowledge-based companies to adapt to the changes and fluctuations in the market through efficient methods, offer new products and achieve sustainable competitive advantages. …”
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Towards precision in bifacial photovoltaic system simulation: a model selection approach with validation by Eva-Maria Grommes, Maximilian Koch, Jean-Régis Hadji-Minaglou, Holger Voos, Ulf Blieske

“…This research validates BifacialSimu, an open-source simulation tool designed to enhance the prediction of bifacial PV system energy outputs by incorporating multiple simulation models. …”
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Supporting energy policy research with large language models: A case study in wind energy siting ordinances by Grant Buster, Pavlo Pinchuk, Jacob Barrons, Ryan McKeever, Aaron Levine, Anthony Lopez

“…Our results show that this approach is 85 to 90 % accurate with outputs that can be used directly in downstream quantitative modeling. …”
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Optomechanical energy enhanced BF-QEPAS for fast and sensitive gas sensing by Weilin Ye, Linfeng He, Weihao Liu, Zhile Yuan, Kaiyuan Zheng, Guolin Li

“…Additionally, a self-calibration method is proposed for correcting resonant frequency shifts. …”
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Diversity-Driven Multi-Head Attention for Enhanced Trajectory Prediction by Zhen Zhang

“…The approach creates multiple subsets of training data by random sampling and trains multiple independent MHA modules separately. By aggregating outputs from these diverse MHA modules during inference, our method effectively captures richer trajectory patterns, resulting in significantly improved prediction performance and generalization. …”
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Development and Comparison of Interrupt-Based and Analog-to-Digital Converter Algorithms for Seed Counting in Precision Planters by A. Ghaffarnezhad, H. Navid, H. Karimi

“…Throughout the planting process, the microcontroller continuously performed sensor scanning and promptly converted the sensor outputs into binary values based on defined thresholds. …”
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Aircraft Multi-stage Altitude Prediction Under Satellite Signal Loss by Mengchan HUANG, Qiang MIAO

“…Therefore, a fuzzy logic approach is adopted to map ambiguous inputs to explicit output states, enabling the extraction of climb, cruise, and descent phases from the aircraft’s entire flight process. …”
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Hyperspectral Imaging for Phenotyping Plant Drought Stress and Nitrogen Interactions Using Multivariate Modeling and Machine Learning Techniques in Wheat by Frank Gyan Okyere, Daniel Kingsley Cudjoe, Nicolas Virlet, March Castle, Andrew Bernard Riche, Latifa Greche, Fady Mohareb, Daniel Simms, Manal Mhada, Malcolm John Hawkesford

“…Accurate detection of drought stress in plants is essential for water use efficiency and agricultural output. Hyperspectral imaging (HSI) provides a non-invasive method in plant phenotyping, allowing the long-term monitoring of plant health due to sensitivity to subtle changes in leaf constituents. …”
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Investigation on the interaction force measurement between bubble and particle in flotation based on resistance strain cantilever beam by Xibing REN, Lijuan SUN, Qinshan LIU, Yulong CHENG, Xiahui GUI, Yaowen XING

“…The interaction force between bubble and particle directly determine the efficiency of bubble-particle mineralization and serve as a crucial window into the microscopic mechanism of flotation. …”
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Subjective cognitive decline predicts longitudinal neuropsychological test performance in an unsupervised online setting in the Brain Health Registry by Jae Myeong Kang, Manchumad Manjavong, Chengshi Jin, Adam Diaz, Miriam T. Ashford, Joseph Eichenbaum, Emily Thorp, Elizabeth Wragg, Kenton H. Zavitz, Francesca Cormack, Anna Aaronson, R. Scott Mackin, Rachana Tank, Bernard Landavazo, Erika Cavallone, Diana Truran, Sarah Tomaszewski Farias, Michael W. Weiner, Rachel L. Nosheny

“…Abstract Backgrounds Digital, online assessments are efficient means to detect early cognitive decline, but few studies have investigated the relationship between remotely collected subjective cognitive change and cognitive decline. …”
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Aqua-MC as a simple open access code for uncountable runs of AquaCrop by Vahid Adabi, Hadi Ramezani Etedali, Asghar Azizian, Faraz Gorginpaveh, Ali Salem, Ahmed Elbeltagi

“…The results revealed that soil evaporation and yield predictions exhibited the highest uncertainty, while transpiration and biomass outputs were more stable. The study also highlighted that many parameters had low impact, suggesting that reducing the number of free parameters could enhance model efficiency. …”
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Reservoir operation strategies to mitigate hydrological drought effects along the middle and lower reaches of the Yangtze River by Xiaoqi Zhang, Zhihong Song, Tao Zhou, Dong Wang, Yongqiang Wang, Pan Liu

“…Firstly, river water level simulation (RWLS) models that consider the impact of upstream reservoir release was established based on the LSTM method. The impact of reservoir operation decisions on the downstream river water levels by combining the output from the reservoir system with the input of RWLS model was then analyzed. …”
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