Polymer based nanocomposites for shoe sole applications by Lau, Kun Lim.

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Parent-infant affect synchrony during social and solo play by Kidby, Sayaka, Neale, Dave, Wass, Sam, Leong, Victoria

“…Mother-infant dyads (N = 20, average infant age 10.7 months) played together (social) or separately (solo) using an object. Both participants increased positive affect during social play as compared with solo play. …”
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The Solo Organizational Ombudsman Practitioner...and Our Need for Colleagues...A Conversation by Rowe, Mary, Bloch, Brian

Subjects: “…organizational ombudsman, solo practitioner, continuing education, compassion fatigue…”
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Real-Time Object Detection System for Hospital Assets Using YOLOv8 by Andalusia, Friska, Suakanto, Sinung, Hamami, Faqih, Mat Raffei, Anis Farihan, Nuryatno, Edi

“…These results show that YOLOv8 performs well in detecting medical devices. …”
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Corrugation and Squat Classification and Detection with VGG16 and YOLOv5 Neural Network Models by Mohd Yazed, Muhammad Syukri, Mohd Yunus, Mohd Amin, Ahmad Shaubari, Ezak Fadzrin, Abdul Hamid, Nor Aziati, Amzah, Azmale, Md Ali, Zulhelmi

“…This study presents a novel approach utilizing deep learning models, VGG16 and YOLOv5, for detecting and classifying railway track defects, explicitly focusing on corrugation and squat defects. …”
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Road damage detection for autonomous driving vehicles using YOLOv8 and salp swarm algorithm by Nik Ahmad Farihin, Mohd Zulkifli, Zuriani, Mustaffa, Mohd Herwan, Sulaiman

“…The model is then retrained using the hyperparameters identified by SSA. The YOLOv8 models optimized using SSA are compared with the original YOLOv8 and other YOLO versions (YOLOv5, YOLOv9, and YOLOv10), demonstrating a 3.5% improvement in accuracy after hyperparameter optimization in detecting road damage.…”
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Oil palm loose fruit detection using YOLOv4 for an autonomous mobile robot collector by Japar, Ahmed Fareed, Ramli, Hafiz Rashidi, Norsahperi, Nor Mohd Haziq, Wan Hasan, Wan Zuha

“…Refined models (YOLOv4-tiling and YOLOv4-tiny-tiling) are then evaluated. …”
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AMIC-EWCI Conference on Approaches to Communication Planning : Solo, Nov 4-8, 1979 : [contents]

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AMIC-EWCI Conference on Approaches to Communication Planning : Solo, Nov 4-8, 1979 : [welcome address] by Sinha, P. R. R.

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SHERLOCK HOLMES : PENUNGGANG BASIKAL SOLO ; MISTERI KEHILANGAN DI SEKOLAH PRIORY & MISTERI KEMATIAN BLACK PETER = THE ADVENTURE OF THE SOLITARY CYCLIST, THE ADVENTURE OF THE PRIORY SCHOOL, THE ADVENTURE OF BLACK PETER / by Doyle, Arthur Conan, Sir, 1859-1930, author 284049, Fatimah Rodhiah Mohd Yusof, translator 620234

“…Penunggang Basikal Solo - Cik Violet Smith datang ke Baker Street untuk meminta nasihat kerana merasakan dia diekori oleh seorang lelaki semasa menunggang basikal ke rumah majikannya. …”

Hermitian self-dual abelian codes by Jitman, Somphong, Ling, San, Solé, Patrick

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On the algebraic structure of quasi-cyclic codes IV : repeated roots by Ling, San, Niederreiter, Harald, Sole, Patrick

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On polynomial pairs of integers by Ezerman, Martianus Frederic, Meyer, Bertrand, Solé, Patrick

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Lattice codes for the Gaussian wiretap channel by Belfiore, Jean-Claude, Oggier, Frederique, Sole, Patrick

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Z8-Kerdock codes and pseudorandom binary sequences by Lahtonen, Jyrki, Ling, San, Sole, Patrick, Zinoviev, Dmitrii

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Product Construction of Affine Codes by Chee, Yeow Meng, Kiah, Han Mao, Purkayastha, Punarbasu, Solé, Patrick

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On linear complementary pairs of codes by Solé, Patrick, Carlet, Claude, Güneri, Cem, Özbudak, Ferruh, Özkaya, Buket

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Crossing and intersecting families of geometric graphs on point sets by Álvarez-Rebollar, J. L., Cravioto-Lagos, J., Marín, N., Solé-Pi, O., Urrutia, J.

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Global chocolate supply is limited by low pollination and high temperatures by Lander, TA, Atta-Boateng, A, Toledo-Hernández, M, Wood, A, Malhi, Y, Solé, M, Tscharntke, T, Wanger, TC

Real-time personal protective equipment compliance detection using you only look once by Nurhanisah, Aminuddin, Nor Azuana, Ramli, Pratondo, Agus

“…Further analysis comparing the selected models based on the confusion matrix shows that YOLOv8 demonstrates more accurate predictions, while YOLOv5 and YOLOv7 primarily detect background, leading to minimal object detection within the bounding boxes.…”
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