Comparative study of data-based and covariance-based methods for flutter derivative identification of a trussed deck suspension bridge model with wind tunnel validation by Hoang Trong Lam, Phan Duc Tam, Vo Duy Hung

“…Numerical simulations and wind tunnel experiments were conducted to evaluate each method's robustness to noise, identification accuracy, and computational efficiency. …”
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Simulation of a packed column for the removal of Pb (II) from solution using Theobroma cacao L. as a bioadsorbent by Candelaria Nahir Tejada Tovar, Ángel Villabona Ortiz, Angel Dario Gonzalez Delgado

“…These findings demonstrate the potential of computational tools as valuable alternatives for predicting the performance of adsorption columns packed with biomass.…”
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Lightweight Deepfake Detection Based on Multi-Feature Fusion by Siddiqui Muhammad Yasir, Hyun Kim

“…In this study, we propose an efficient and lightweight method for detecting deepfake images and videos, making it suitable for devices with limited computational resources. In order to reduce the computational burden usually associated with DL models, our method integrates machine learning classifiers in combination with keyframing approaches and texture analysis. …”
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Counting sheep: human experience vs. Yolo algorithm with drone to determine population by Jordan Ninahuanca Carhuas, Luigüi Andre Cerna Grados, Ide Unchupaico Payano, Edgar Garcia-Olarte, Yakelin Mauricio-Ramos, Carlos Quispe Eulogio, Mohamed M. Hadi Mohamed

“…Human counters with varying experience levels (M1-M4) and the YOLOv7 algorithm (M5) were evaluated across six sheep flocks of different sizes. …”
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An MPI-based parallel genetic algorithm for multiple geographical feature label placement based on the hybrid of fixed-sliding models by M. Naser Lessani, Zhenlong Li, Jiqiu Deng, Zhiyong Guo

“…Although advances in computer technology and robust approaches have addressed the problem of label positioning, the lengthy running time of MGFLP has not been a major focus of recent studies. …”
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Learning Frequency-Aware Spatial Attention by Reconstructing Images With Different Frequency Responses by Keisuke Sano, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

“…In this paper, we propose a novel method that computes separate spatial attention maps for high-frequency and low-frequency features. …”
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Deepfake Audio Detection for Urdu Language Using Deep Neural Networks by Omair Ahmad, Muhammad Sohail Khan, Salman Jan, Inayat Khan

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FL-DBENet: Double-branch encoder network based on segment anything model for farmland segmentation of large very-high-resolution optical remote sensing images by W. Feng, F. Guan, C. Sun, W. Xu, W. Xu

“…Extensive evaluations on the GID dataset and the ultra-high resolution, ultra-rich context (URUR) dataset demonstrate that FL-DBENet achieves superior performance in both qualitative and quantitative assessments for farmland extraction tasks.…”
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ViPeR: Vision-Based Surgical Phase Recognition by Soumyadeep Chandra, Sayeed Shafayet Chowdhury, Courtney Yong, Ginnie Jeng, Ashorne Mahenthiran, Kostantinos E. Morris, Harrison L. Love, Chandru P. Sundaram, Kaushik Roy

“…Surgical phase recognition is a critical, yet challenging, problem in computer vision, with significant implications for automated surgical training, intraoperative assistance, and workflow optimization. …”
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U-net-based approaches for biometric identification and recognition in cattle by Pınar CİHAN, Ahmet SAYGILI, Muhammed AKYÜZLÜ, Nihat Eren ÖZMEN, Celal Şahin ERMUTLU, Uğur AYDIN, Alican YILMAZ, Özgür AKSOY

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Comparative techno-economic analysis of grid-connected solar PV-battery and PV-fuel cell systems for educational institutions sustainable academic laboratories by Takele Ferede Agajie, Fuseini Seidu Ibrahim, Isaac Amoussou, Elsabet Ferede Agajie, Eriisa Yiga Paddy, Yayehyirad Ayalew Awoke, Wirnkar Basil Nsanyuy, Mohit Bajaj

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Weakly-Supervised Multilingual Medical NER for Symptom Extraction for Low-Resource Languages by Rigon Sallauka, Umut Arioz, Matej Rojc, Izidor Mlakar

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A graph attention network-based multi-agent reinforcement learning framework for robust detection of smart contract vulnerabilities by Philip Kwaku Adjei, Qin Zhiguang, Isaac Amankona Obiri, Ansu Badjie, Christian Nii Aflah Cobblah, Ali Alqahtani, Yeong Hyeon Gu, Mugahed A. Al-antari

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A systematic review of UAV and AI integration for targeted disease detection, weed management, and pest control in precision agriculture by Iftekhar Anam, Naiem Arafat, Md Sadman Hafiz, Jamin Rahman Jim, Md Mohsin Kabir, M.F. Mridha

“…We have conducted a thorough analysis of recent studies, particularly 2022–24, to evaluate the effectiveness of different unmanned aerial vehicle models, sensor types, and computational methods to improve crop monitoring and disease control strategies. …”
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Task-irrelevant stimuli reliably boost phasic pupil-linked arousal but do not affect decision formation by J. Hebisch, A.-C. Ghassemieh, E. Zhecheva, M. Brouwer, S. van Gaal, L. Schwabe, T. H. Donner, J.W. de Gee

“…Mechanistic attempts to understand the impact of phasic arousal on cognition would benefit from temporally precise experimental manipulations. Here, we evaluated a non-invasive candidate approach to manipulate arousal in humans: presenting task-irrelevant auditory stimuli at different latencies during the execution of a challenging task. …”
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An enhanced machine vision system for smart poultry farms using deep learning by P. Natho, S. Boonying, P. Bonguleaum, N. Tantidontanet, L. Chamuthai

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Ischemic Heart Disease Prognosis: A Hybrid Residual Attention-Enhanced LSTM Model by D. Cenitta, R. Vijaya Arjunan, Ganesh Paramasivam, N. Arul, Anisha Palkar, Krishnaraj Chadaga

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Machine Learning for Health Insurance Prediction in Nigeria by Victor Enemona Ochigbo, Oluwasogo Adekunle Okunade, Emmanuel Gbenga Dada, Oluyemi Mikail Olaniyi, Oluwatoyosi Victoria Oyewande

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Cost of Production for Fresh Market Grapefruit Grown in Indian River, 2020/21 by Ariel Singerman

“…Typical users of the estimates presented herein include growers and consultants, who use them as a benchmark; property appraisers, who use them to compute the taxes for property owners; and researchers, who use the estimates to evaluate the economic feasibility of potential new technologies. …”
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MODELING STOCHASTIC ADVERSE EFFECTS OF CBN 2023 REDESIGNED NAIRA NOTES POLICY ON RURAL FARMERS IN NIGERIA by Bright Okore Osu, Chigozie Chibuisi, Edikan Edem Akpanibah

“…The modeled equation is solved using Extended Second Derivative Block Backward Differentiation Formulae Method (ESDBBDFM) without the use of interpolation techniques in the evaluations of the delay term and noise term. In comparing the numerical results of this method with other existing methods in literature, the newly developed mathematical expressions for the evaluations of the delay term and the noise term in solving ASDDEs with the discrete schemes of ESDBBDFM gives better results for step number than step numbers and 3 by producing Least Minimum Absolute Random Error (LMARE) in a Lower Computational Processing Unit Time (LCPUT) faster than other existing methods that applied interpolation techniques in evaluations of the delay term and the noise term.…”
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