5,022 research outputs found
First person – Ahmed Elbediwy
Full text linkFirst Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Ahmed Elbediwy is the first author on ‘Enigma proteins regulate YAP mechanotransduction’, published in Journal of Cell Science. Ahmed is a postdoctoral fellow in the lab of Barry Thompson at The Francis Crick Institute, London, UK, investigating the cytoskeleton, RhoGTPases and the regulation of YAP/TAZ oncoproteins
Author Checklist - Full - Ahmed Essa_ 135540.pdf
No full textAttached is a required author checklist for animal research </p
Abul Mansur Ahmed Research Essay 2023
No full textThis is a research essay submitted to the 'Abul Mansur Ahmed Smriti Parishad' in 2023 for primary selection for publication, however, in the end, it was decided by the author not to publish it in the local publisher's policy. Thus the author holds the sole copyright of this article and possesses intellectual property of the work and wishes to publish it in future in reputable platforms.An Intellectual Work on Abul Mansur Ahmed produced by Naywaz Shari
The three blind men and the elephant. In search of a holistic view of Somalia. A comment to Ahmed I. Samatar
No full textIn this article, the author comments on Ahmed I. Samatar contribution on main perspectives gleaned from books and articles by Somali scholars published in the recent years.Qoraagu wuxuu maqaalkaan kaga faalloonayaa shirweynihi Axmed I. Samatar, oo la xiriiray waxyaabaha ugu doorka roon ee laga filayo in ay ka soo baxaan qoraalladii ay soo saareen aqoonyahannada Soomaaliyeed sannadaahan dambe.In questo articolo, l'autore commenta l'intervento al congresso di Ahmed I. Samatar relativo alle principali prospettive che emergono dai lavori pubblicati negli ultimi anni da studiosi somali.M.S. Lilius (ed.
Interview with Ahmed al-Dajani
No full textفي هذه المقابلة، يتحدث الدكتور أحمد الدجاني، المفكر الفلسطيني، عن الفصائل الفلسطينية. أجرت المقابلة إيمان رافع.In this interview, Ahmed al-Dajani, a Palestinian author, speaks about Palestinian factions. The interview was conducted by Iman Rafi
Simultaneous Twin Kernel Learning Using Polynomial Transformations for Structured Prediction
No full textMany learning problems in computer vision can be posed as structured prediction problems, where the input and output instances are structured objects such as trees, graphs or strings rather than, single labels {+1, −1} or scalars. Kernel methods such as Structured Support Vector Machines , Twin Gaussian Processes (TGP), Structured Gaussian Processes, and vector-valued Reproducing Kernel Hilbert Spaces (RKHS), offer powerful ways to perform learning and inference over these domains. Positive definite kernel functions allow us to quantitatively capture similarity between a pair of instances over these arbitrary domains. A poor choice of the kernel function, which decides the RKHS feature space, often results in poor performance. Automatic kernel selection methods have been developed, but have focused only on kernels on the input domain (i.e.’one-way’). In this work, we propose a novel and efficient algorithm for learning kernel functions simultaneously, on both input and output domains. We introduce the idea of learning polynomial kernel transformations, and call this method Simultaneous Twin Kernel Learning (STKL). STKL can learn arbitrary, but continuous kernel functions, including ’one-way’ kernel learning as a special case. We formulate this problem for learning covariances kernels of Twin Gaussian Processes. Our experimental evaluation using learned kernels on synthetic and several real-world datasets demonstrate consistent improvement in performance of TGP’s.Peer reviewe
Interview with Nemat Ahmed Fouad
No full textمقابلة مع الكاتبة المصرية نعمت أحمد فؤاد عن تطورها المهني والذي تراوح بين موقعها القيادي في المجلس الأعلى للفنون وأعمالها وترجماتها العديدة. كما تتحدث عن عملها وأفكارها في حركة الكتابة النسائية المصرية وتحدثت عن تأثير مرشديها ولا سيما الدكتور احمد حسن الزيات. قامت بالمقابلة أمال سعيد.An interview with Egyptian author Nemat Ahmed Fouad about her professional progression, her leadership position in the Supreme Council of Arts, her works in and thoughts on the Egyptian women's writing movement, and the influence of her mentors, notably Dr. Ahmed Hassan Al-Zayat. The interview was conducted by Amal Saeed
Video based Activity Recognition in a Trauma Center
No full textWe present a feasibility study of automated, vision-based detection and recognition of trauma procedures in a medical emergency room. Given a ceiling-mounted camera view of the trauma room, our goal is to track and transcribe the activities performed during resuscitation of a patient, the time instances of their initiation and their temporal durations. We represent activities through complex spatiotemporal relationships between image features based on scene dynamics, patient localization, clinicians’ hand motions and medical devices. We design an activity grammar based on trauma specific domain-knowledge and model the resulting logic as a Markov Logic Network. Probabilistic inference of activity posterior is computed efficiently in the presence of observed features. To this end, we demonstrate our approach on videos of realistic trauma simulations in challenging, multi-agent. multi-task settings. This study primarily aims at exploring the overall problem of visual recognition of trauma procedures. The accuracy of the results we obtained from our recognition scheme confirms the suitability of our framework.Technical report DCS-TR-69
On the base pressure of 3D turbulent bluff body wakes with sharp separation
No full textParticle Image Velocimetry (PIV) and pressure measurements are used to study the turbulent wake of Ahmed bluff body. A cavity on the base is created to control the base pressure and modify the recirculating bubble and its equilibrium
A Novel Use of Higher Order Information to Detect Inliers of an Implicit Model
No full textThe problem we address in this paper is to label datapoints when the information about them is provided primarily in terms of their subsets or groups. The knowledge we have for a group is a likelihood value for each group member to belong to same class. These likelihood values are computed using a model, either explicit or implicit, of the pattern we wish to learn. By defining a Markov Random Field (MRF) over the labels of data, we formulate the problem as an MRF inference problem. A submodular function is defined as clique potential function for this MRF. We identified a special form of this clique potential function that results in a simple and efficient inference method with linear running time with respect to the number of datapoints and subsets. The formulation allows augmentation of energy functions for data with several different size subsets. We present experimental results in applications where the proposed method produces improved performances over other methods.Technical report DCS-TR-67
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