A sustainable approach tackling WEEE management using ontology-based DSS by Ahmed Tarek Ismail Mohamed, Francesco Laviano, Francesco Laviano, Debora Fino, Francesca Rubertelli, Claudio Toscano

“…Electronic waste generation has been following a continuously rising trend. With electronics containing a myriad of materials some of which are hazardous, toxic, extremely rare, or precious combined with more stringent legislative laws which encourage the reuse and optimised recycling of the materials included in WEEE, the need for a holistic approach is inevitable. …”
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Automated detection of spreading depolarizations in electrocorticography by Sreekar Puchala, Ethan Muchnik, Anca Ralescu, Jed A. Hartings

“…SD detection using sparse sampling (0.1 Hz) is optimal for streaming and use in cloud computing applications for neurocritical care.…”
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Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification by Qingyu Wang, Qingyu Wang, Duzhen Zhang, Xinyuan Cai, Tielin Zhang, Bo Xu

“…Our result indicates the continuous refinement of new transformers that are inspired either by biological discovery (spike-form), or information theory (Fourier or Wavelet transform), is promising.…”
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Geometric morphometric analysis of projectile points from the Southwest United States by Bischoff, Robert J.

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Only Detect Broilers Once (ODBO): A Method for Monitoring and Tracking Individual Behavior of Cage-Free Broilers by Chengcheng Yin, Xinjie Tan, Xiaoxin Li, Mingrui Cai, Weihao Chen

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Empowering Individuals With Visual Impairment: A Digital Braille Solution for Learning the Urdu Language by Farzana Jabeen, Mehvish Rashid

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A Novel Approach to Road Safety: Detecting Illegal Overtaking Using Smartphone Cameras and Deep Learning for Vehicle Auditing by Karem Daiane Marcomini, Vitória de Carvalho Brito, Gregori da Cruz Balestra, Vitor Tosetto, Luiz Carlos Duarte, Antonio Roberto Donadon

“…To enhance highway safety, we propose a method for accurately detecting illegal overtaking on continuous road lanes. We used dashboard-mounted smartphone cameras and geolocation data to filter the analysis areas. …”
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Novel dietary herbal preparations with inhibitory activities against multiple SARS-CoV-2 targets: A multidisciplinary investigation into antiviral activities by Olujide Oludayo Olubiyi, Francis Alfred Attah, Birgit Strodel, Raphael Josef Eberle, Monika Aparecida Coronado, Oluwadotun Akinseinde, Augustine Anayochukwu Onyeaghala, Ikemefuna Chijioke Uzochukwu, Olayinka Adejoke Kotila, Hannah Dada-Adegbola, Awodayo Oluwatoyin Adepiti, Anthony Adebolu Elujoba, Chinedum Peace Babalola

“…Many new variants of concern have continued to emerge since the initial outbreak of the original SARS-CoV-2 virus traceable to the Wuhan strain (Wuhan-Hu-1). …”
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Network Security Situational Awareness Based on Improved Particle Swarm Algorithm and Bidirectional Long Short-Term Memory Modeling by Peng Zheng, Yun Cheng, Wei Zhu, Bo Liu, Shuhong Liu, Shijie Wang, Jinyin Bai

“…With the continuous development of information technology, network security risks are also rising, and the ability to quickly perceive network threats has become an important prerequisite and an important means to cope with network risks. …”
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Impact of the use of high-power 810-nm diode laser as monotherapy on the clinical and tomographic success of the treatment of teeth with periapical lesions: an observational clinic... by Fabricio Hinojosa Pedraza, Abel Victor Isidro Teves-Cordova, Murilo Priori Alcalde, Marco Antonio Hungaro Duarte

“…This research is the first to assess the clinical success of this alternative treatment, along with tomographic evaluations conducted over periods ranging from 2 to 7 years, analyzed using the periapical index based on cone-beam computed tomography (CBCTPAI). All cases were performed by a single clinician following the same laser protocol, which involved using 1 W of continuous power and four cycles of 20 seconds of laser activation. …”
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Artificial neural network-enhanced unconditionally stable finite-difference time-domain technique for multiscale problems by Oluwole John Famoriji, Thokozani Shongwe

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Microstructure Evolution and the Influence on Residual Stress in Metal Additive Manufacturing with Analytics by Wei Huang, Hamid Garmestani, Steven Y. Liang

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ECG Signal Classification of Cardiovascular Disorder using CWT and DCNN by Tawfikur Rahman, Rasel Ahommed, Nibedita Deb, Utpal Kanti Das, Md. Moniruzzaman, Md. Alamgir Bhuiyan, Farzana Sultana, Md. Kamruzzaman Kausar

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An Automated Image-Based Dietary Assessment System for Mediterranean Foods by Fotios S. Konstantakopoulos, Eleni I. Georga, Dimitrios I. Fotiadis

“…<italic>Conclusions:</italic> The proposed automated image-based dietary assessment system provides the capability of continuous recording of health data in real time.…”
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REENGINEERING OF OPEN SOFTWARE SYSTEM OF 3D MODELING BRL-CAD by Stanislav Velykodniy

“…Computer Graphics is an up-to-date industry in the design and application of rapidly evolving computing systems. …”
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Movement and Dispersion Parameters Characterizing the Group Behavior of <i>Drosophila melanogaster</i> in Micro-Areas of an Observation Arena by Nam Jung, Chunlei Xia, Yong-Hyeok Jang, Hye-Won Kim, Yun Doo Chung, Tae-Soo Chon

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FrameBoost: Advanced Video Analytics With Inference Trigger Frame Selection via Tracking Error Estimation by Jin Mo Yang, Sunwook Hwang, Jeongjun Park, Saewoong Bahk

“…For real-time video analytics, the inference trigger frame selection problem is crucial. While continuous video streams offer rich data, processing every frame is computationally intensive. …”
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Elevating metaverse virtual reality experiences through network‐integrated neuro‐fuzzy emotion recognition and adaptive content generation algorithms by Oshamah Ibrahim Khalaf, Dhamodharan Srinivasan, Sameer Algburi, Jeevanantham Vellaichamy, Dhanasekaran Selvaraj, Mhd Saeed Sharif, Wael Elmedany

“…Due to this, there is an immediate need to construct cutting‐edge technology that can recognize the emotions of users and continuously provide material that is relevant to their psychological states, improving their overall experience. …”
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Can we differentiate malignant peripheral nerve sheath tumor from benign neurofibroma without invasive sampling by Fikri Selcuk Simsek, Saadet Akarsu, Yavuz Narin

“…Using of fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) for lesion characterization can be helpful in NF1 patients. …”
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Epithelioid Hemangioendothelioma of the Azygos Vein by O. V. Pikin, T. S. Moldomusaev, A. A. Dotdaev, V. A. Bagrov

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