How should representations from complementary sensors be integrated for autonomous driving? Geometry-based sensor fusion has shown great promise perception tasks such as object detection and motion forecasting. However, the actual driving task, global context of 3D scene is key, e.g. a change in traffic light state can affect behavior vehicle geometrically distant that light. Geometry alone may therefore insufficient effectively fusing end-to-end models. In this work, we demonstrate...

Efficient reasoning about the semantic, spatial, and temporal structure of a scene is crucial prerequisite for autonomous driving. We present NEural ATtention fields (NEAT), novel representation that enables such end-to-end imitation learning models. NEAT continuous function which maps locations in Bird's Eye View (BEV) coordinates to waypoints semantics, using intermediate attention iteratively compress high-dimensional 2D image features into compact representation. This allows our model...

Agronomy is the science and technology of crop soil management for producing food, fiber, feed, fuel. As global population continues to rise, agronomy will play an increasingly vital role in meeting escalating food demands while sustaining natural resources. This review highlights major advancements agronomic research practice that enhance yields, health, agricultural sustainability worldwide. Key topics include plant breeding improved varieties, optimized nutrition fertility management,...

Data aggregation techniques can significantly improve vision-based policy learning within a training environment, e.g., to drive in specific simulation condition. However, as on-policy data is sequentially sampled and added an iterative manner, the specialize overfit conditions. For real-world applications, it useful for learned generalize novel scenarios that differ from To while maintaining robustness when end-to-end driving policies, we perform extensive analysis of CARLA environment. We...

Software Defined Network (SDN) architecture is a new and novel way of network management mechanism. In SDN, switches do not process the incoming packets like conventional computing environment. They match for in forwarding tables if there none it will be sent to controller processing which operating system SDN. A Distributed Denial Service (DDoS) attack biggest threat cyber security SDN network. The occur at layer or application compromised systems that are connected this paper machine...

Breast cancer is indeed a major cause of concern for women in India. There are several detection techniques currently available breast diagnosis, like mammography, magnetic resonance imaging, ultrasound, and Computerized Thermal Imaging developing its way to enter this field conjunction with mammography. Infrared imaging found be less harmful as compared mammography can give results many years prior the by The purpose current study use Thermography deep learning combination provide new...

The usage of Internet as increased with time ,but the increase in internet ,the cases Cybercrime has also gone up. However, artificial intelligence companies and business are starting to look for AI tools help against cybercrime .AI is becoming an essential component every business. one important sectors where begun demonstrating valuable inputs. It due fact that faster than humans take action make alternate plan protect send warning cybercrime. We will discuss recent cyber crime how used...

It is well known that semantic segmentation can be used as an effective intermediate representation for learning driving policies. However, the task of street scene requires expensive annotations. Furthermore, algorithms are often trained irrespective actual task, using auxiliary image-space loss functions which not guaranteed to maximize metrics such safety or distance traveled per intervention. In this work, we seek quantify impact reducing annotation costs on learned behavior cloning...

In the data-driven financial world of today, organizations need smart systems that can facilitate documentation-based decision-making. This paper describes a machine learning–based framework for improving accuracy credit card approval decisions based on structured data. By using combination supervised learning algorithms such as Random Forest, Logistic Regression, and Naive Bayes, proposed model analyzes applicant information to automated classification risk documentation. The research...

Virtual reality simulators can be beneficial in increasing the quality of training while decreasing time needed for a specific skill. These provide risk free environment which has benefit repetition and correction user's error. It been years since introduction these into medical applications. The application VR orthopedic surgery, however, is relatively new area interest. In this paper, collaborative virtual based environments with focus on LISS (Less Invasive Stabilization System) plating,...

Transition metal complexes of type M(L) 2 (H O) x were synthesized, where L is deprotonated Schiff base 2,4‐dihalo‐6‐(substituted thiazol‐2‐ylimino)methylphenol derived from the condensation aminothiazole or its derivatives with 2‐hydroxy‐3‐halobenzaldehyde and M = Co 2+ , Ni Cu Zn ( 0 for ; ). The synthesized bases their thoroughly characterized using infrared, 1 H NMR, electronic electron paramagnetic resonance spectroscopies, elemental analysis, molar conductance magnetic susceptibility...

Wearable devices such as smartwatches offer exciting new opportunities for users to interact with their applications. However, the current wearable programming model requires developer write a custom companion app each form factor; extends smartphone display onto wearable, relays user interactions from phone, and updates needed. The development effort required is significant will not scale an increasing diversity of factors. This paper argues different devices. writes application smartphone,...

The study of augmented reality, also known as AR, is currently a high priority for multiple prestigious international universities and research institutions. This paper explores the usage reality in world education. It has often been found that when presented visually, information better understood by students classroom. AR such technology can be used to provide interactive learning visual experience giving learners sense deeper immersion significantly raising learner's appeal interest....

In this paper, a Convolutional Neural Network architecture (ConvNet) for offline isolated Tamil character recognition is proposed. A first-ever attempt has been made to recognize all 247 characters in the text using 124 unique symbols. The proposed contains two layers and Two Fully Connected (FC) Layers with ReLu activation function. Softmax function used final layer compute probability of classes. 9.6 million parameters network are randomly initialized He initialization fine-tuned Nesterov...

The calibration of dynamic traffic assignment (DTA) models involves the estimation model parameters to best replicate real-world measurements. Good is essential estimate and predict accurately states, which are crucial for management applications alleviate congestion. A widely used approach calibrate simulation-based DTA extended Kalman filter (EKF). EKF assumes that unconstrained, although they in fact constrained; instance, origin–destination (O-D) flows nonnegative. This assumption...

Effective real-time traffic management strategies often require dynamic assignment systems that are calibrated online. But the computationally intensive nature of online calibration limits their application to smaller networks. This paper presents a dimensionality reduction problem is based on principal components overcome this limitation. To demonstrate approach, origin–destination flow estimation formulated in relation its components. The efficacy procedure was tested with real data...

This study addresses various formulations of the optimal reliability path problem on stochastic networks. Robust-Cost is adopted as measure reliability, which defined a weighted combination mean and standard deviation travel time. The principal solved Minimum Path (MRCP) in presence Correlated link times. It shown that subpath optimality non-dominance principles, are conventionally literature, cannot be used to solve this problem. In light, proposes an algorithm based pruning approach,...

This paper introduces GENI Cinema (GC), a system that provides scalable live video streaming service based on dynamic traffic steering with software defined networking (SDN) and demand driven instantiation of relay servers in NSF GENI's distributed cloud environments. While the can be used to multitude content, its initial objective is support educational content such as lectures seminars among university campuses. Users any campus would bootstrap upload or download via public Web portal...