Neural Image Compression and Explanation by Xiang Li, Shihao Ji

“…In this article, we propose a novel end-to-end Neural Image Compression and Explanation (NICE) framework that learns to (1) explain the predictions of convolutional neural networks (CNNs), and (2) subsequently compress the input images for efficient storage or transmission. Specifically, NICE generates a sparse mask over an input image by attaching a stochastic binary gate to each pixel of the image, whose parameters are learned through the interaction with the CNN classifier to be explained. …”
Get full text

Enhancing drug-target affinity prediction through pre-trained language model and gated multi-head attention by Ghina Khoerunnisa, Isman Kurniawan

“…Nevertheless, the DTI binary classification approach suffers from a large number of non-interacting pairs, resulting in data imbalance and has a negative impact on performance. …”
Get full text

The Thermal Index of Neutron-star Matter in the Virial Approximation by Giuseppe Rivieccio, Adriana Nadal-Matosas, Arnau Rios, Milton Ruiz

“…The virial approximation provides a clear and physically intuitive framework for understanding the thermal properties of dense matter, offering a computationally efficient solution that makes it particularly well suited for the regimes relevant to neutron-star binary remnants.…”
Get full text

Klasifikasi Ekspresi Wajah Menggunakan Covolutional Neural Network by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo

“…This study proposes a simple Convolutional Neural Network (CNN) architecture to enhance the efficiency of emotion classification on small datasets. …”
Get full text

Optimization of distribution networks using quantum annealing for loss reduction and voltage improvement in electrical vehicle parking management by Naser Rashnu, Babak Mozafari, Reza Sharifi

“…Traditional optimization techniques like Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) often struggle with the nonlinear, high-dimensional nature of EV-grid interaction problems. In contrast, Quantum Annealing (QA) leverages quantum tunneling and parallelism to efficiently explore complex solution spaces. …”
Get full text

Inoculation method and disease evaluation of tomato chlorotic virus (ToCV) in Solanum lycopersicum by Dan Zhao, Tianchen Xia, Tao Zhou, Lifu Zhao, Xiaoping Zhu, Biao Gong

“…We further used ToCV-infectious clones to develope an improved stem-inoculated method, which can increase the ToCV-inoculated efficiency from less than 40% to more than 90% compared with the traditional leaf-inoculated method. …”
Get full text

Staged transfer learning for multi-label half-face emotion recognition by Mohamed M. Abd ElMaksoud, Sherif H. ElGohary, Ahmed H. Kandil

“…Facial emotion recognition (FER) has emerged as a pivotal area of affective computing, enabling accurate detection of human emotions from visual cues. To enhance the efficiency and maintain accuracy, we propose a novel approach that leverages deep learning and transfer learning techniques to classify emotions based on only half of the human face. …”
Get full text

Enhanced physicochemical properties of Himalayan Weeping Bamboo-biochar for rapid multicomponent textile dyes uptake under classical and ultrasound irradiation: A comparative study by Sumit Kumar, Chetna Tewari, Ligy Philip, Nanda Gopal Sahoo

“…The study provides insights into an efficient, novel synthesis method for converting waste biomass into a valuable adsorbent for dye removal. …”
Get full text

MB-MSTFNet: A Multi-Band Spatio-Temporal Attention Network for EEG Sensor-Based Emotion Recognition by Cheng Fang, Sitong Liu, Bing Gao

“…This sensor-driven framework advances affective computing by integrating spatio-temporal dynamics and multi-band interactions of EEG sensor signals, enabling efficient real-time emotion recognition.…”
Get full text

New Insight of Time-transformed Symplectic Integrator. I. Hybrid Methods for Hierarchical Triples by Long Wang

“…Accurate N -body simulations of multiple systems such as binaries and triples are essential for understanding the formation and evolution of interacting binaries and binary mergers, including gravitational wave sources, blue stragglers, and X-ray binaries. …”
Get full text

Semantic enhancement and change consistency network for semantic change detection in remote sensing images by Zhenghao Jiang, Biao Wang, Peng Zhang, Yanlan Wu, Zhiyuan Ye, Hui Yang

“…This module continuously supervises segmentation and final detection results using interactive self-attention. SCNet achieves state-of-the-art performance on the SECOND, Hi-UCD-mini, and SJH-SCD (our custom) datasets, demonstrating an impressive balance between efficiency and accuracy. …”
Get full text

Preparation of Electrode Materials from Iron Cobalt Oxide on Carbon Fiber Cloth used for Asymmetric Supercapacitors by Abeer A. Radhi, Sami I. Jafar Al-Rubaiey, Shaymaa Al-Rubaye

“…In addition, the unique porous nanospherical texture, the good conductivity, and the high effectiveness can be credited to the asymmetric supercapacitor employing FCO-CFC electrodes that achieved acceptable electrochemical efficiency due to the synergistic interaction between the FCO and the CFC. …”
Get full text

Machine learning based prediction of geotechnical parameters affecting slope stability in open-pit iron ore mines in high precipitation zone by John Gladious, Partha Sarathi Paul, Manas Mukhopadhyay

“…This project underscores the significant potential of integrating advanced machine learning techniques with traditional geotechnical practices, particularly in regions experiencing heavy rainfall, to foster safer and more efficient engineering solutions.…”
Get full text

Molecular behaviors in thin film lubrication—Part one: Film formation for different polarities of molecules by Shaohua Zhang, Yijun Qiao, Yuhong Liu, Liran Ma, Jianbin Luo

“…., the determination of the type of molecules that can enter the contact region efficiently during sliding, the orientation of molecules in the contact region, and the effect of solid surfaces on the liquid molecular orientation in TFL. …”
Get full text

Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis by Asif Rahman, Maqsood Hayat, Nadeem Iqbal, Fawaz Khaled Alarfaj, Salem Alkhalaf, Fahad Alturise

“…CNN demonstrates superiority in medical imaging owing to its ability to learn intricate spatial patterns and generalize effectively. This interaction enhances the accuracy, speed, and consistency of brain tumor detection, ultimately leading to better patient outcomes and more efficient healthcare delivery. https://github.com/asifrahman557/BrainTumorDetection .…”
Get full text

Scaled Fenwick Trees by Matthew Cushman

“…This research was done as part of Ajna Labs in the course of developing a decentralized finance protocol. It enables an efficient on-chain encoding and processing of an order book-like data structure used to manage lending, interest, and collateral.…”
Get full text

Analysis of MHD hybrid nanofluid flow over cone and wedge with exponential and thermal heat source and activation energy by Alshehry Azzh Saad, Noor Saima, Abas Syed Arshad, Fiza Mehreen, Ullah Hakeem

“…In many industrial processes, magnetohydrodynamic (MHD) hybrid nanofluid flow plays a vital role in controlling mass and heat transfer in systems involving precipitation and chemical processing. The interaction between thermal radiation, chemical reactions, Joule heating, and heat sources significantly affects the efficiency of such systems, necessitating an in-depth analysis of their combined effects. …”
Get full text

Bilinear form and soltion solutions for (3+1)-dimensional negative-order KdV-CBS equation by Chen Dan

“…This article investigates a significant mathematical model for multiwave interactions. For the first time, the bilinear form of the (3+1)-dimensional negative-order Korteweg–de Vries (KdV)-Calogero–Bogoyavlenskii–Schiff (CBS) equation is derived using binary Bell polynomials, and 1, 2, and 3-soliton solutions are obtained through this bilinear form. …”
Get full text

Micellization and surface properties of Triton X 100 in aqueous solution of short-chain alcohols by Sujit Kumar Shah, Rojer M. Leblanc, Ajaya Bhattarai

“…Binary mixtures with alcohol volume fractions (VF) of 0.10, 0.20, 0.30, 0.40 and 0.50 were prepared. …”
Get full text

Electrostatic Attraction‐Driven Assembly of Non‐Noble Metallo‐Supramolecular Polymers With Single‐Walled Carbon Nanotubes for Boosting Photocatalytic Hydrogen Evolution by Yanyan Qin, Chen Zhang, Yidi Wang, Pengfei She, Wai‐Yeung Wong

“…Herein, we have prepared two ionic non‐noble metallo‐supramolecular polymers Se‐MTpy (M = Co or Ni), and constructed their composites with single‐walled carbon nanotubes (CNTs) via electrostatic attraction and π–π interactions for efficient and stable photocatalytic hydrogen evolution. …”
Get full text