Wide & deep learning for predicting relative mineral compositions of sediment cores solely based on XRF scans, a case study from Pleistocene Paleolake Olduvai, Tanzania by Gayantha R.L. Kodikara, Lindsay J. McHenry, Ian G. Stanistreet, Harald Stollhofen, Jackson K. Njau, Nicholas Toth, Kathy Schick

“…The results were validated using 265 validation data records unseen by the model and discuss the accuracy of models using six test records. The optimized Deep Neural Network (DNN) classification model achieved over 86% binary accuracy while the regression models were also able to predict the relative mineral abundances of samples with high accuracies. …”
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On-Chip CMOS Shorted Bow-Tie Antenna Enhanced by 3D Printed Parasitic Resonator Operating Around 246 GHz by Joachim Hebeler, Pascal Maier, Alexander Kotz, Christian Koos, Akanksha Bhutani, Thomas Zwick

“…This work describes the design process, manufacturing, and measurement of an antenna system consisting of an on-chip feeding element enhanced by 3D printed parasitic resonators operating around 246 GHz. …”
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Workspaces for entrepreneurs: conceptualizing openness in new workspaces as clopen office provision by Ian Merrell, Matthew Gorton, Jeremy Phillipson

“…The paper contributes through an identification of the limitations of binary ‘open or closed’ equals ‘good or bad’ judgements of entrepreneurial workspaces, rather recognizing that the diverse multitasking that is inevitably involved in running a small business means that no single, fixed physical layout is optimal for all tasks. …”
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Improved crop row detection by employing attention-based vision transformers and convolutional neural networks with integrated depth modeling for precise spatial accuracy by Hassan Afzaal, Derek Rude, Aitazaz A. Farooque, Gurjit S. Randhawa, Arnold W. Schumann, Nicholas Krouglicof

“…The proposed workflow offers a robust solution for automating field operations, optimizing resource efficiency, and improving crop productivity.…”
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A Hybrid Framework for Detection and Analysis of Leaf Blight Using Guava Leaves Imaging by Sidrah Mumtaz, Mudassar Raza, Ofonime Dominic Okon, Saeed Ur Rehman, Adham E. Ragab, Hafiz Tayyab Rauf

“…The features were fused to get the best-desired results. Binary Gray Wolf Optimization (BGWO) was used on the fused features for feature selection. …”
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On the Security of Split-and-Lookup-Based ZK-Friendly Primitives by Antoine Bak, Léo Perrin

“…The idea in this case is to “split” prime field elements into smaller integers, e.g. by simply considering their binary representations, and then applying a permutation on each such integer before rebuilding a field element from them. …”
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Hypergraph Modeling and Approximation Algorithms for the Minimum Length Link Scheduling in Multiuser MIMO Networks by Hu Shen, Shaohe Lv, Xuan Dong, Junquan Deng, Xiaodong Wang, Xingming Zhou

“…Generally, in the networks with MU-MIMO capability, the number of concurrent transmissions can be as large as that of antenna elements at the receiver. As a result, link interference is no longer binary but demonstrates a strong correlation among multiple links, which cannot be captured by the conventional conflict graph interference model. …”
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Critical raw material-free multi-principal alloy design for a net-zero future by Swati Singh, Mingwen Bai, Allan Matthews, Saurav Goel, Shrikrishna N. Joshi

“…In this pioneering work, we unveil an inventive approach to inversely predict novel multicomponent alloy compositions, meticulously crafted to eliminate CRMs while achieving hardness levels comparable to those of CRM-containing multi-principal element alloys (MPEAs). A robust machine learning (ML) model was developed using a computational database of 3,608 entries, covering unary and binary materials from the Thermo-Calc 2024a software. …”
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Synthesis of a novel zirconium-based adsorbent (ZBA) and the elucidation of adsorption capability of arsenic using ZBA, zirconium oxide, and zirconium hydroxide by Fumihiko Ogata, Noriaki Nagai, Yugo Uematsu, Hitoka Ito, Chalermpong Saenjum, Naohito Kawasaki

“…In addition, the findings from the binding energy and elemental distribution analysis confirmed that arsenic ions were adsorbed on the ZBA surface. …”
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Effect of Al/Cr addition on microstructure and mechanical properties of Ni-rich nitinol alloys by Yufei Wei, Shiyao Chen, Yancheng Jin, Mingzong Zhang, Qin Li, Yanbin Jiang, Lei Guan, Lijun Zhang

“…However, the low hardness of the binary alloy limits its wear resistance. Alloying with other elements can generally help to solve this problem, but accurate determination of their optimal amounts is quite challenging. …”
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Assessment of effective factors on bacterial oxidation of ferrous iron by focusing on sweetening natural gas by A. Zabihollahpoor, P. Hejazi

“…One factor at a time (OFAT) design approach was used for preliminary evaluation of various factors affecting the process, such as pH, initial ferrous and elemental sulfur concentrations, shaker agitation rate, and liquid to flask volume ratio. …”
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Influence of Heat Treatment Temperature on Microstructure and Mechanical Properties of TiB₂@Ti/AlCoCrFeNi_2.1 Eutectic High-Entropy Alloy Matrix Composites by Fuqiang Guo, Yajun Zhou, Qinggang Jiang, Panfeng Chen, Bo Ren

“…With increasing temperature, the Ti concentration in the solid solution zone increases, while the contents of elements such as Ni decrease. Element diffusion is influenced by binary mixing enthalpy, with Ti and B tending to solidify in the FCC and BCC phase regions, respectively. …”
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Resource management for multi-drone communications in next-generation NOMA-enabled wireless networks by Sajed Ahmad, Syed Zain Ul Abideen, Mian Muhammad Kamal, M. A. Al-Khasawneh, Ghassan F. Issa, Najib Ullah, Osama Alfarraj, Amr Tolba, Muhammad Sheraz, Teong Chee Chuah

“…The primary optimization problem is a mixed-integer, nonconvex, and nonlinear task, which seeks to maximize the sum-rate while addressing issues of UAD-user association and power distribution, complicated by interference and binary decision variables. …”
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Direct quenching and tempering to achieve high strength and toughness of GPa-Grade nano-precipitated steel: The effect of precipitation behavior and variant selectivity by Zhongde Pan, Enmao Wang, Huibin Wu, Junping Wu, Jun Hong, Zhongzhu Liu, Aimin Guo, Zhen Sun, Yansen Hao

“…Direct quenching enhances the homogeneous nucleation of finer mono- and binary precipitates and their stable growth during tempering, while the ternary precipitates do not suffer from elemental inhomogeneities due to lack of re-dissolution. …”
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Multi focus acoustic field generation using Dammann gratings for phased array transducers by Tatsuki Fushimi, Yusuke Koroyasu

“…Phased array transducers can shape acoustic fields for versatile manipulation; however, generating multiple focal points typically involves complex optimization. This study demonstrates that Dammann gratings – binary phase gratings originally used in optics to generate equal-intensity spot arrays – can be adapted for acoustics to create multiple equal-strength focal points with a phased array transducer. …”
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Pasithea-1: An Energy-Efficient Sequential Reconfigurable Array With CPU-Like Programmability by Tobias Kaiser, Esther Gottschalk, Kai Biethahn, Friedel Gerfers

“…The interconnect and FP microarchitecture explorations demonstrate that, unlike CGRAs utilizing low-level bitstreams, Pasithea’s instruction set hides microarchitectural details, which makes it possible to optimize hardware without severing binary compatibility.…”
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AER U-Net: attention-enhanced multi-scale residual U-Net structure for water body segmentation using Sentinel-2 satellite images by Naga Surekha Jonnala, Shaik Siraaj, Y. Prastuti, P. Chinnababu, B. Praveen babu, Shonak Bansal, Prashant Upadhyaya, Krishna Prakash, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

“…The model is trained using the Adam optimizer combined with a binary cross-entropy loss function, making it highly effective for binary segmentation tasks with an IoU score of 0.94, highlighting its effectiveness for practical environmental applications.…”
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Machine learning for improved density functional theory thermodynamics by Sergei I. Simak, Erna K. Delczeg-Czirjak, Olle Eriksson

“…A neural network model has been trained to predict the discrepancy between DFT-calculated and experimentally measured enthalpies for binary and ternary alloys and compounds. The model utilizes a structured feature set comprising elemental concentrations, atomic numbers, and interaction terms to capture key chemical and structural effects. …”
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Improving Highly Automated Traffic Management Models Using Alternative Graph Structures Simultaneously by Gábor Pauer, Árpád Török

“…This research focuses on improving the modelling of highly automated centralized traffic management. Authors use a binary integer modelling for traffic flow optimization. …”
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Developing a Methodology for Assessing Visual and Environmental Sensitivity for Agrivoltaics Land Suitability Projects: The Case Study of Viterbo Province (Italy) by Ilaria Angelelli, Daniele Codato, Salvatore Eugenio Pappalardo, Massimo De Marchi

“…The methodology employs spatial data, thematic maps, and multi-criteria analysis in open-source GIS software to identify suitable solar belts, map environmental sensitivity through 14 criteria, and assess visual sensitivity based on proximity to landscape elements. The resulting workflow and customizable QGIS models provide a comprehensive, transparent decision-support tool to optimize agrivoltaics deployment while minimizing impacts and enhancing acceptance. …”
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